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Steven G.

@steveng96

5.0
6

4.6

4.6

100%

SaaS/Fintech/eCom | Web/Mobile | LLM/RAG/Pinecone

$50 USD / Hour

・

Flag of

Canada (7:50 PM)

・

Joined on March 8, 2025

$50 USD / Hour

・

⭐⭐⭐⭐⭐ I build AI-powered SaaS products, Fintech platforms, eCommerce systems, and mobile apps that ship fast, scale cleanly, and generate measurable results. ⚡SaaS • Activation & AI Copilots I turn signups into active users by redesigning onboarding flows, embedding LLM copilots, and instrumenting product events. Typical outcomes: time-to-first-value cut in half, activation rates up 15~30%, support deflection up via AI assistants. ⚡Fintech • Onboarding & Integrations I build KYC flows, Plaid/Stripe integrations, and dashboard systems with audit-ready architecture and clean data boundaries. I write code the compliance team can review - not just the engineering team. ⚡Mobile • Cross-Platform Apps I build high-performance mobile apps with React Native and Flutter, focused on fast UX, clean state management, and seamless API integration across iOS and Android. ⚡eCommerce • Performance & Automation I ship Shopify extensions, Next.js storefronts, and workflow automations (n8n + AI) that reduce ops overhead and lift conversion. ⚡AI & RAG Systems I design retrieval-augmented generation pipelines, LLM agents, and knowledge-base chatbots that replace hallucination with grounded, explainable answers. ━━━ What "Done" looks like with me ━━━ Every project ships with a written Done = … acceptance spec before code starts, a rollback plan, and deployment docs. No ambiguity on either side. ⚙Tech Stack: Python · FastAPI · Django · Next.js · React · TypeScript · Flutter · React Native · Android · iOS · PostgreSQL · Supabase · AWS · Docker · CI/CD · OpenAI · Anthropic · LangChain · Pinecone · n8n · Stripe · Shopify

Verifications

On time

100%

On budget

100%

Accept rate

58%

Repeat hire rate

13%

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Portfolio

Portfolio

13854324
https://www.synthesia.io/ ✅ My role: RAG architecture · embedding pipeline · widget UI · eval suite · monitoring dashboard ✅ Context: Mid-market SaaS, React frontend · FastAPI backend · OpenAI GPT-4o · Pinecone vector DB ✅ Problem: Support volume was growing faster than headcount - 60% of tickets were answerable from docs. ✅ Done = RAG pipeline over KB/docs live, widget embedded in app, eval harness (accuracy + hallucination rate) passing, guardrails preventing off-scope responses. ✅ Result: Ticket deflection +34% · hallucination rate 6.1% → 1.8% · p95 latency 1.4s ✅ Notes: No training on client data test-time grounding only. Client-owned Pinecone index.

Video SaaS copilot : "Synthesia"

https://www.synthesia.io/ ✅ My role: RAG architecture · embedding pipeline · widget UI · eval suite · monitoring dashboard ✅ Context: Mid-market SaaS, React frontend · FastAPI backend · OpenAI GPT-4o · Pinecone vector DB ✅ Problem: Support volume was growing faster than headcount - 60% of tickets were answerable from docs. ✅ Done = RAG pipeline over KB/docs live, widget embedded in app, eval harness (accuracy + hallucination rate) passing, guardrails preventing off-scope responses. ✅ Result: Ticket deflection +34% · hallucination rate 6.1% → 1.8% · p95 latency 1.4s ✅ Notes: No training on client data test-time grounding only. Client-owned Pinecone index.

Video SaaS copilot : "Synthesia"

https://www.synthesia.io/ ✅ My role: RAG architecture · embedding pipeline · widget UI · eval suite · monitoring dashboard ✅ Context: Mid-market SaaS, React frontend · FastAPI backend · OpenAI GPT-4o · Pinecone vector DB ✅ Problem: Support volume was growing faster than headcount - 60% of tickets were answerable from docs. ✅ Done = RAG pipeline over KB/docs live, widget embedded in app, eval harness (accuracy + hallucination rate) passing, guardrails preventing off-scope responses. ✅ Result: Ticket deflection +34% · hallucination rate 6.1% → 1.8% · p95 latency 1.4s ✅ Notes: No training on client data test-time grounding only. Client-owned Pinecone index.

Video SaaS copilot : "Synthesia"

https://www.synthesia.io/ ✅ My role: RAG architecture · embedding pipeline · widget UI · eval suite · monitoring dashboard ✅ Context: Mid-market SaaS, React frontend · FastAPI backend · OpenAI GPT-4o · Pinecone vector DB ✅ Problem: Support volume was growing faster than headcount - 60% of tickets were answerable from docs. ✅ Done = RAG pipeline over KB/docs live, widget embedded in app, eval harness (accuracy + hallucination rate) passing, guardrails preventing off-scope responses. ✅ Result: Ticket deflection +34% · hallucination rate 6.1% → 1.8% · p95 latency 1.4s ✅ Notes: No training on client data test-time grounding only. Client-owned Pinecone index.

Video SaaS copilot : "Synthesia"

https://www.synthesia.io/ ✅ My role: RAG architecture · embedding pipeline · widget UI · eval suite · monitoring dashboard ✅ Context: Mid-market SaaS, React frontend · FastAPI backend · OpenAI GPT-4o · Pinecone vector DB ✅ Problem: Support volume was growing faster than headcount - 60% of tickets were answerable from docs. ✅ Done = RAG pipeline over KB/docs live, widget embedded in app, eval harness (accuracy + hallucination rate) passing, guardrails preventing off-scope responses. ✅ Result: Ticket deflection +34% · hallucination rate 6.1% → 1.8% · p95 latency 1.4s ✅ Notes: No training on client data test-time grounding only. Client-owned Pinecone index.

Video SaaS copilot : "Synthesia"

13854331
https://qrvey.com/ ✅My role: Cisco · Full-stack (Next.js + FastAPI) · event schema · UX flow · Mixpanel instrumentation ✅Context: B2B SaaS, PLG motion, Next.js + Segment → Mixpanel · 3-person product team ✅Problem: Trial signups stalled before first dataset import - 76% never reached activation event. ✅Done = one-click CSV import + sample data path live, activation event fires within session, 90-sec contextual Loom help cue embedded, Mixpanel funnel updated. ✅Result: Activation 24% → 41% in 30 days · support tickets −28% ✅Notes: Scoped to activation milestone only; no access to prod database - staging environment throughout.

"Qrvey" : SaaS onboarding

https://qrvey.com/ ✅My role: Cisco · Full-stack (Next.js + FastAPI) · event schema · UX flow · Mixpanel instrumentation ✅Context: B2B SaaS, PLG motion, Next.js + Segment → Mixpanel · 3-person product team ✅Problem: Trial signups stalled before first dataset import - 76% never reached activation event. ✅Done = one-click CSV import + sample data path live, activation event fires within session, 90-sec contextual Loom help cue embedded, Mixpanel funnel updated. ✅Result: Activation 24% → 41% in 30 days · support tickets −28% ✅Notes: Scoped to activation milestone only; no access to prod database - staging environment throughout.

"Qrvey" : SaaS onboarding

https://qrvey.com/ ✅My role: Cisco · Full-stack (Next.js + FastAPI) · event schema · UX flow · Mixpanel instrumentation ✅Context: B2B SaaS, PLG motion, Next.js + Segment → Mixpanel · 3-person product team ✅Problem: Trial signups stalled before first dataset import - 76% never reached activation event. ✅Done = one-click CSV import + sample data path live, activation event fires within session, 90-sec contextual Loom help cue embedded, Mixpanel funnel updated. ✅Result: Activation 24% → 41% in 30 days · support tickets −28% ✅Notes: Scoped to activation milestone only; no access to prod database - staging environment throughout.

"Qrvey" : SaaS onboarding

https://qrvey.com/ ✅My role: Cisco · Full-stack (Next.js + FastAPI) · event schema · UX flow · Mixpanel instrumentation ✅Context: B2B SaaS, PLG motion, Next.js + Segment → Mixpanel · 3-person product team ✅Problem: Trial signups stalled before first dataset import - 76% never reached activation event. ✅Done = one-click CSV import + sample data path live, activation event fires within session, 90-sec contextual Loom help cue embedded, Mixpanel funnel updated. ✅Result: Activation 24% → 41% in 30 days · support tickets −28% ✅Notes: Scoped to activation milestone only; no access to prod database - staging environment throughout.

"Qrvey" : SaaS onboarding

13788043
I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

12878570
As a Full Stack Developer at LILYSILK, I helped improve the online shopping experience for luxury silk products. I used React, Next.js, and Tailwind CSS to build a responsive and user-friendly site where customers can easily browse and buy silk apparel and home goods. I worked closely with the design team to add features like dynamic product displays, detailed pages, and an easy-to-use shopping cart and checkout. I focused on optimizing performance to ensure fast load times and smooth navigation across devices. On the backend, I integrated secure payment gateways, handled order processing, and built RESTful APIs for managing product data, user authentication, and transactions. I also worked with Node.js, Express.js, and MongoDB to make sure the site was efficient and scalable. The result is a sleek, secure, and efficient website that delivers a smooth shopping experience while reflecting LILYSILK’s commitment to luxury and sustainability.

Luxury Silk E-commerce Platform

As a Full Stack Developer at LILYSILK, I helped improve the online shopping experience for luxury silk products. I used React, Next.js, and Tailwind CSS to build a responsive and user-friendly site where customers can easily browse and buy silk apparel and home goods. I worked closely with the design team to add features like dynamic product displays, detailed pages, and an easy-to-use shopping cart and checkout. I focused on optimizing performance to ensure fast load times and smooth navigation across devices. On the backend, I integrated secure payment gateways, handled order processing, and built RESTful APIs for managing product data, user authentication, and transactions. I also worked with Node.js, Express.js, and MongoDB to make sure the site was efficient and scalable. The result is a sleek, secure, and efficient website that delivers a smooth shopping experience while reflecting LILYSILK’s commitment to luxury and sustainability.

Luxury Silk E-commerce Platform

As a Full Stack Developer at LILYSILK, I helped improve the online shopping experience for luxury silk products. I used React, Next.js, and Tailwind CSS to build a responsive and user-friendly site where customers can easily browse and buy silk apparel and home goods. I worked closely with the design team to add features like dynamic product displays, detailed pages, and an easy-to-use shopping cart and checkout. I focused on optimizing performance to ensure fast load times and smooth navigation across devices. On the backend, I integrated secure payment gateways, handled order processing, and built RESTful APIs for managing product data, user authentication, and transactions. I also worked with Node.js, Express.js, and MongoDB to make sure the site was efficient and scalable. The result is a sleek, secure, and efficient website that delivers a smooth shopping experience while reflecting LILYSILK’s commitment to luxury and sustainability.

Luxury Silk E-commerce Platform

As a Full Stack Developer at LILYSILK, I helped improve the online shopping experience for luxury silk products. I used React, Next.js, and Tailwind CSS to build a responsive and user-friendly site where customers can easily browse and buy silk apparel and home goods. I worked closely with the design team to add features like dynamic product displays, detailed pages, and an easy-to-use shopping cart and checkout. I focused on optimizing performance to ensure fast load times and smooth navigation across devices. On the backend, I integrated secure payment gateways, handled order processing, and built RESTful APIs for managing product data, user authentication, and transactions. I also worked with Node.js, Express.js, and MongoDB to make sure the site was efficient and scalable. The result is a sleek, secure, and efficient website that delivers a smooth shopping experience while reflecting LILYSILK’s commitment to luxury and sustainability.

Luxury Silk E-commerce Platform

As a Full Stack Developer at LILYSILK, I helped improve the online shopping experience for luxury silk products. I used React, Next.js, and Tailwind CSS to build a responsive and user-friendly site where customers can easily browse and buy silk apparel and home goods. I worked closely with the design team to add features like dynamic product displays, detailed pages, and an easy-to-use shopping cart and checkout. I focused on optimizing performance to ensure fast load times and smooth navigation across devices. On the backend, I integrated secure payment gateways, handled order processing, and built RESTful APIs for managing product data, user authentication, and transactions. I also worked with Node.js, Express.js, and MongoDB to make sure the site was efficient and scalable. The result is a sleek, secure, and efficient website that delivers a smooth shopping experience while reflecting LILYSILK’s commitment to luxury and sustainability.

Luxury Silk E-commerce Platform

As a Full Stack Developer at LILYSILK, I helped improve the online shopping experience for luxury silk products. I used React, Next.js, and Tailwind CSS to build a responsive and user-friendly site where customers can easily browse and buy silk apparel and home goods. I worked closely with the design team to add features like dynamic product displays, detailed pages, and an easy-to-use shopping cart and checkout. I focused on optimizing performance to ensure fast load times and smooth navigation across devices. On the backend, I integrated secure payment gateways, handled order processing, and built RESTful APIs for managing product data, user authentication, and transactions. I also worked with Node.js, Express.js, and MongoDB to make sure the site was efficient and scalable. The result is a sleek, secure, and efficient website that delivers a smooth shopping experience while reflecting LILYSILK’s commitment to luxury and sustainability.

Luxury Silk E-commerce Platform

12878554
I worked on the frontend of the My House Hospitality website, which helps people find and book luxury vacation rentals in Miami. I used React, Next.js, and Tailwind CSS to build a clean, responsive layout that works well on all devices. I added features like dynamic property listings, detailed pages with images and amenities, and an easy-to-use booking system. I also focused on making the site fast and smooth to navigate, so users could quickly find the right place to stay. The result was a modern and reliable site that makes booking high-end rentals in Miami simple and enjoyable.

Vacation Rental Platform

I worked on the frontend of the My House Hospitality website, which helps people find and book luxury vacation rentals in Miami. I used React, Next.js, and Tailwind CSS to build a clean, responsive layout that works well on all devices. I added features like dynamic property listings, detailed pages with images and amenities, and an easy-to-use booking system. I also focused on making the site fast and smooth to navigate, so users could quickly find the right place to stay. The result was a modern and reliable site that makes booking high-end rentals in Miami simple and enjoyable.

Vacation Rental Platform

I worked on the frontend of the My House Hospitality website, which helps people find and book luxury vacation rentals in Miami. I used React, Next.js, and Tailwind CSS to build a clean, responsive layout that works well on all devices. I added features like dynamic property listings, detailed pages with images and amenities, and an easy-to-use booking system. I also focused on making the site fast and smooth to navigate, so users could quickly find the right place to stay. The result was a modern and reliable site that makes booking high-end rentals in Miami simple and enjoyable.

Vacation Rental Platform

12878501
I worked on the frontend development of the Crescent Retreats website, which offers high-end vacation rentals. My main goal was to help build a clean, responsive interface using React, Next.js, and Tailwind CSS that worked well on both desktop and mobile. I teamed up with designers to create a simple, elegant layout that showed off each property’s photos, features, and availability. We added filters so users could easily search by location, price, and property type. I also focused on making the site fast and smooth to navigate, especially for users on the go. The final result was a modern, easy-to-use website that gives visitors a relaxing experience while browsing and booking luxury stays.

Luxury Vacation Rental Website UI

I worked on the frontend development of the Crescent Retreats website, which offers high-end vacation rentals. My main goal was to help build a clean, responsive interface using React, Next.js, and Tailwind CSS that worked well on both desktop and mobile. I teamed up with designers to create a simple, elegant layout that showed off each property’s photos, features, and availability. We added filters so users could easily search by location, price, and property type. I also focused on making the site fast and smooth to navigate, especially for users on the go. The final result was a modern, easy-to-use website that gives visitors a relaxing experience while browsing and booking luxury stays.

Luxury Vacation Rental Website UI

I worked on the frontend development of the Crescent Retreats website, which offers high-end vacation rentals. My main goal was to help build a clean, responsive interface using React, Next.js, and Tailwind CSS that worked well on both desktop and mobile. I teamed up with designers to create a simple, elegant layout that showed off each property’s photos, features, and availability. We added filters so users could easily search by location, price, and property type. I also focused on making the site fast and smooth to navigate, especially for users on the go. The final result was a modern, easy-to-use website that gives visitors a relaxing experience while browsing and booking luxury stays.

Luxury Vacation Rental Website UI

13854324
https://www.synthesia.io/ ✅ My role: RAG architecture · embedding pipeline · widget UI · eval suite · monitoring dashboard ✅ Context: Mid-market SaaS, React frontend · FastAPI backend · OpenAI GPT-4o · Pinecone vector DB ✅ Problem: Support volume was growing faster than headcount - 60% of tickets were answerable from docs. ✅ Done = RAG pipeline over KB/docs live, widget embedded in app, eval harness (accuracy + hallucination rate) passing, guardrails preventing off-scope responses. ✅ Result: Ticket deflection +34% · hallucination rate 6.1% → 1.8% · p95 latency 1.4s ✅ Notes: No training on client data test-time grounding only. Client-owned Pinecone index.

Video SaaS copilot : "Synthesia"

https://www.synthesia.io/ ✅ My role: RAG architecture · embedding pipeline · widget UI · eval suite · monitoring dashboard ✅ Context: Mid-market SaaS, React frontend · FastAPI backend · OpenAI GPT-4o · Pinecone vector DB ✅ Problem: Support volume was growing faster than headcount - 60% of tickets were answerable from docs. ✅ Done = RAG pipeline over KB/docs live, widget embedded in app, eval harness (accuracy + hallucination rate) passing, guardrails preventing off-scope responses. ✅ Result: Ticket deflection +34% · hallucination rate 6.1% → 1.8% · p95 latency 1.4s ✅ Notes: No training on client data test-time grounding only. Client-owned Pinecone index.

Video SaaS copilot : "Synthesia"

https://www.synthesia.io/ ✅ My role: RAG architecture · embedding pipeline · widget UI · eval suite · monitoring dashboard ✅ Context: Mid-market SaaS, React frontend · FastAPI backend · OpenAI GPT-4o · Pinecone vector DB ✅ Problem: Support volume was growing faster than headcount - 60% of tickets were answerable from docs. ✅ Done = RAG pipeline over KB/docs live, widget embedded in app, eval harness (accuracy + hallucination rate) passing, guardrails preventing off-scope responses. ✅ Result: Ticket deflection +34% · hallucination rate 6.1% → 1.8% · p95 latency 1.4s ✅ Notes: No training on client data test-time grounding only. Client-owned Pinecone index.

Video SaaS copilot : "Synthesia"

https://www.synthesia.io/ ✅ My role: RAG architecture · embedding pipeline · widget UI · eval suite · monitoring dashboard ✅ Context: Mid-market SaaS, React frontend · FastAPI backend · OpenAI GPT-4o · Pinecone vector DB ✅ Problem: Support volume was growing faster than headcount - 60% of tickets were answerable from docs. ✅ Done = RAG pipeline over KB/docs live, widget embedded in app, eval harness (accuracy + hallucination rate) passing, guardrails preventing off-scope responses. ✅ Result: Ticket deflection +34% · hallucination rate 6.1% → 1.8% · p95 latency 1.4s ✅ Notes: No training on client data test-time grounding only. Client-owned Pinecone index.

Video SaaS copilot : "Synthesia"

https://www.synthesia.io/ ✅ My role: RAG architecture · embedding pipeline · widget UI · eval suite · monitoring dashboard ✅ Context: Mid-market SaaS, React frontend · FastAPI backend · OpenAI GPT-4o · Pinecone vector DB ✅ Problem: Support volume was growing faster than headcount - 60% of tickets were answerable from docs. ✅ Done = RAG pipeline over KB/docs live, widget embedded in app, eval harness (accuracy + hallucination rate) passing, guardrails preventing off-scope responses. ✅ Result: Ticket deflection +34% · hallucination rate 6.1% → 1.8% · p95 latency 1.4s ✅ Notes: No training on client data test-time grounding only. Client-owned Pinecone index.

Video SaaS copilot : "Synthesia"

13854331
https://qrvey.com/ ✅My role: Cisco · Full-stack (Next.js + FastAPI) · event schema · UX flow · Mixpanel instrumentation ✅Context: B2B SaaS, PLG motion, Next.js + Segment → Mixpanel · 3-person product team ✅Problem: Trial signups stalled before first dataset import - 76% never reached activation event. ✅Done = one-click CSV import + sample data path live, activation event fires within session, 90-sec contextual Loom help cue embedded, Mixpanel funnel updated. ✅Result: Activation 24% → 41% in 30 days · support tickets −28% ✅Notes: Scoped to activation milestone only; no access to prod database - staging environment throughout.

"Qrvey" : SaaS onboarding

https://qrvey.com/ ✅My role: Cisco · Full-stack (Next.js + FastAPI) · event schema · UX flow · Mixpanel instrumentation ✅Context: B2B SaaS, PLG motion, Next.js + Segment → Mixpanel · 3-person product team ✅Problem: Trial signups stalled before first dataset import - 76% never reached activation event. ✅Done = one-click CSV import + sample data path live, activation event fires within session, 90-sec contextual Loom help cue embedded, Mixpanel funnel updated. ✅Result: Activation 24% → 41% in 30 days · support tickets −28% ✅Notes: Scoped to activation milestone only; no access to prod database - staging environment throughout.

"Qrvey" : SaaS onboarding

https://qrvey.com/ ✅My role: Cisco · Full-stack (Next.js + FastAPI) · event schema · UX flow · Mixpanel instrumentation ✅Context: B2B SaaS, PLG motion, Next.js + Segment → Mixpanel · 3-person product team ✅Problem: Trial signups stalled before first dataset import - 76% never reached activation event. ✅Done = one-click CSV import + sample data path live, activation event fires within session, 90-sec contextual Loom help cue embedded, Mixpanel funnel updated. ✅Result: Activation 24% → 41% in 30 days · support tickets −28% ✅Notes: Scoped to activation milestone only; no access to prod database - staging environment throughout.

"Qrvey" : SaaS onboarding

https://qrvey.com/ ✅My role: Cisco · Full-stack (Next.js + FastAPI) · event schema · UX flow · Mixpanel instrumentation ✅Context: B2B SaaS, PLG motion, Next.js + Segment → Mixpanel · 3-person product team ✅Problem: Trial signups stalled before first dataset import - 76% never reached activation event. ✅Done = one-click CSV import + sample data path live, activation event fires within session, 90-sec contextual Loom help cue embedded, Mixpanel funnel updated. ✅Result: Activation 24% → 41% in 30 days · support tickets −28% ✅Notes: Scoped to activation milestone only; no access to prod database - staging environment throughout.

"Qrvey" : SaaS onboarding

13788043
I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

I lead the development of SiftScore.ai, an AI-powered market-mapping and talent-sourcing SaaS that helps executive-search firms eliminate “sourcing debt.” In just 8 months, I led the end-to-end development, combining vector search and OpenAI LLM scoring across 35 million companies and 700 million talent records. SiftScore delivers ranked job candidate lists and market maps in seconds. With natural-language queries, recruiter-friendly UI, and usage-based pricing, it cuts long-list build time by 80% and helps recruitment firms find fresher, richer data faster, with instant CRM integration.

AI_Sass_App_OpenAI_.Net

12878570
As a Full Stack Developer at LILYSILK, I helped improve the online shopping experience for luxury silk products. I used React, Next.js, and Tailwind CSS to build a responsive and user-friendly site where customers can easily browse and buy silk apparel and home goods. I worked closely with the design team to add features like dynamic product displays, detailed pages, and an easy-to-use shopping cart and checkout. I focused on optimizing performance to ensure fast load times and smooth navigation across devices. On the backend, I integrated secure payment gateways, handled order processing, and built RESTful APIs for managing product data, user authentication, and transactions. I also worked with Node.js, Express.js, and MongoDB to make sure the site was efficient and scalable. The result is a sleek, secure, and efficient website that delivers a smooth shopping experience while reflecting LILYSILK’s commitment to luxury and sustainability.

Luxury Silk E-commerce Platform

As a Full Stack Developer at LILYSILK, I helped improve the online shopping experience for luxury silk products. I used React, Next.js, and Tailwind CSS to build a responsive and user-friendly site where customers can easily browse and buy silk apparel and home goods. I worked closely with the design team to add features like dynamic product displays, detailed pages, and an easy-to-use shopping cart and checkout. I focused on optimizing performance to ensure fast load times and smooth navigation across devices. On the backend, I integrated secure payment gateways, handled order processing, and built RESTful APIs for managing product data, user authentication, and transactions. I also worked with Node.js, Express.js, and MongoDB to make sure the site was efficient and scalable. The result is a sleek, secure, and efficient website that delivers a smooth shopping experience while reflecting LILYSILK’s commitment to luxury and sustainability.

Luxury Silk E-commerce Platform

As a Full Stack Developer at LILYSILK, I helped improve the online shopping experience for luxury silk products. I used React, Next.js, and Tailwind CSS to build a responsive and user-friendly site where customers can easily browse and buy silk apparel and home goods. I worked closely with the design team to add features like dynamic product displays, detailed pages, and an easy-to-use shopping cart and checkout. I focused on optimizing performance to ensure fast load times and smooth navigation across devices. On the backend, I integrated secure payment gateways, handled order processing, and built RESTful APIs for managing product data, user authentication, and transactions. I also worked with Node.js, Express.js, and MongoDB to make sure the site was efficient and scalable. The result is a sleek, secure, and efficient website that delivers a smooth shopping experience while reflecting LILYSILK’s commitment to luxury and sustainability.

Luxury Silk E-commerce Platform

As a Full Stack Developer at LILYSILK, I helped improve the online shopping experience for luxury silk products. I used React, Next.js, and Tailwind CSS to build a responsive and user-friendly site where customers can easily browse and buy silk apparel and home goods. I worked closely with the design team to add features like dynamic product displays, detailed pages, and an easy-to-use shopping cart and checkout. I focused on optimizing performance to ensure fast load times and smooth navigation across devices. On the backend, I integrated secure payment gateways, handled order processing, and built RESTful APIs for managing product data, user authentication, and transactions. I also worked with Node.js, Express.js, and MongoDB to make sure the site was efficient and scalable. The result is a sleek, secure, and efficient website that delivers a smooth shopping experience while reflecting LILYSILK’s commitment to luxury and sustainability.

Luxury Silk E-commerce Platform

As a Full Stack Developer at LILYSILK, I helped improve the online shopping experience for luxury silk products. I used React, Next.js, and Tailwind CSS to build a responsive and user-friendly site where customers can easily browse and buy silk apparel and home goods. I worked closely with the design team to add features like dynamic product displays, detailed pages, and an easy-to-use shopping cart and checkout. I focused on optimizing performance to ensure fast load times and smooth navigation across devices. On the backend, I integrated secure payment gateways, handled order processing, and built RESTful APIs for managing product data, user authentication, and transactions. I also worked with Node.js, Express.js, and MongoDB to make sure the site was efficient and scalable. The result is a sleek, secure, and efficient website that delivers a smooth shopping experience while reflecting LILYSILK’s commitment to luxury and sustainability.

Luxury Silk E-commerce Platform

As a Full Stack Developer at LILYSILK, I helped improve the online shopping experience for luxury silk products. I used React, Next.js, and Tailwind CSS to build a responsive and user-friendly site where customers can easily browse and buy silk apparel and home goods. I worked closely with the design team to add features like dynamic product displays, detailed pages, and an easy-to-use shopping cart and checkout. I focused on optimizing performance to ensure fast load times and smooth navigation across devices. On the backend, I integrated secure payment gateways, handled order processing, and built RESTful APIs for managing product data, user authentication, and transactions. I also worked with Node.js, Express.js, and MongoDB to make sure the site was efficient and scalable. The result is a sleek, secure, and efficient website that delivers a smooth shopping experience while reflecting LILYSILK’s commitment to luxury and sustainability.

Luxury Silk E-commerce Platform

12878554
I worked on the frontend of the My House Hospitality website, which helps people find and book luxury vacation rentals in Miami. I used React, Next.js, and Tailwind CSS to build a clean, responsive layout that works well on all devices. I added features like dynamic property listings, detailed pages with images and amenities, and an easy-to-use booking system. I also focused on making the site fast and smooth to navigate, so users could quickly find the right place to stay. The result was a modern and reliable site that makes booking high-end rentals in Miami simple and enjoyable.

Vacation Rental Platform

I worked on the frontend of the My House Hospitality website, which helps people find and book luxury vacation rentals in Miami. I used React, Next.js, and Tailwind CSS to build a clean, responsive layout that works well on all devices. I added features like dynamic property listings, detailed pages with images and amenities, and an easy-to-use booking system. I also focused on making the site fast and smooth to navigate, so users could quickly find the right place to stay. The result was a modern and reliable site that makes booking high-end rentals in Miami simple and enjoyable.

Vacation Rental Platform

I worked on the frontend of the My House Hospitality website, which helps people find and book luxury vacation rentals in Miami. I used React, Next.js, and Tailwind CSS to build a clean, responsive layout that works well on all devices. I added features like dynamic property listings, detailed pages with images and amenities, and an easy-to-use booking system. I also focused on making the site fast and smooth to navigate, so users could quickly find the right place to stay. The result was a modern and reliable site that makes booking high-end rentals in Miami simple and enjoyable.

Vacation Rental Platform

12878501
I worked on the frontend development of the Crescent Retreats website, which offers high-end vacation rentals. My main goal was to help build a clean, responsive interface using React, Next.js, and Tailwind CSS that worked well on both desktop and mobile. I teamed up with designers to create a simple, elegant layout that showed off each property’s photos, features, and availability. We added filters so users could easily search by location, price, and property type. I also focused on making the site fast and smooth to navigate, especially for users on the go. The final result was a modern, easy-to-use website that gives visitors a relaxing experience while browsing and booking luxury stays.

Luxury Vacation Rental Website UI

I worked on the frontend development of the Crescent Retreats website, which offers high-end vacation rentals. My main goal was to help build a clean, responsive interface using React, Next.js, and Tailwind CSS that worked well on both desktop and mobile. I teamed up with designers to create a simple, elegant layout that showed off each property’s photos, features, and availability. We added filters so users could easily search by location, price, and property type. I also focused on making the site fast and smooth to navigate, especially for users on the go. The final result was a modern, easy-to-use website that gives visitors a relaxing experience while browsing and booking luxury stays.

Luxury Vacation Rental Website UI

I worked on the frontend development of the Crescent Retreats website, which offers high-end vacation rentals. My main goal was to help build a clean, responsive interface using React, Next.js, and Tailwind CSS that worked well on both desktop and mobile. I teamed up with designers to create a simple, elegant layout that showed off each property’s photos, features, and availability. We added filters so users could easily search by location, price, and property type. I also focused on making the site fast and smooth to navigate, especially for users on the go. The final result was a modern, easy-to-use website that gives visitors a relaxing experience while browsing and booking luxury stays.

Luxury Vacation Rental Website UI

5.0 · 6 Reviews
6 Reviews
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Oleh K.

5.0

$105 USD

2 months ago

Urgent Homepage Functionality Fix

Wonderful Guy!!! I am not sure how can i express about his skill. Just Great and Excellent!!!

PHP
Website Design
Troubleshooting
CMS
MySQL

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Maria B.

5.0

$400 CAD

2 months ago

Milestone 3

Updated my kaizen form without a hiccup in a timely and professional matter. highly recommended !

PHP
.NET
PostgreSQL
Web Development

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PumaPulse

5.0

€250 EUR

3 months ago

Senior AI / Full-Stack Systems Engineer

He is supper, High recommended!

PHP
Python
.NET
Website Design
Graphic Design

+5 more

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Oscar A.

5.0

$60 USD

4 months ago

Web & Android Developer for Modern App

Steven did an outstanding job on this project and exceeded all expectations. His technical expertise in Android (Kotlin, Android Studio) and Webflow was excellent, and he delivered clean, well-structured, and scalable code with great attention to performance and UI/UX. Steven is reliable, highly skilled, and a pleasure to work with—I would absolutely recommend him and look forward to working with him again.

Graphic Design
Mobile App Development
Android
User Interface / IA
Kotlin

+3 more

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Paul K.

5.0

$100 USD

10 months ago

React Bug Fixing for Performance

He did a great job for me and I'm convinced he's the diamond in the rough I've never seen before. Highly recommended.

JavaScript
Website Design
Graphic Design
CSS
HTML5

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Experience

Senior FullStack Engineer

Mar, 2021 - Sep, 2024

•

3 years, 5 months

WellDev

Mar, 2021 - Sep, 2024

•

3 years, 5 months

Worked on the full stack of a high-performance AI-powered analytics platform, using React, Next.js, Tailwind CSS, and shadcn/ui on the frontend, and Python (Django, FastAPI, Falsk) and PHP (Laravel, Symfony) on the backend. Built responsive, user-friendly interfaces and developed scalable APIs to support real-time data visualizations. Collaborated across teams to improve performance and usability for over 1 million users, contributing to a 40% boost in overall system efficiency.

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Invermere, Canada

Mar, 2021 - Sep, 2024

•

3 years, 5 months

Education

Redeemer University

2006 - 2010

•

4 years

Bachelor of Computer Science

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Canada

2006 - 2010

•

4 years

Certifications

Python Level 1

Python

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