Indian Back-End Developers Needed

@kamran2012

Interesting project, I will build and maintain your FastAPI endpoints against the Swagger specs, write unit and integration tests to hit the 90%+ coverage target, containerize services with Docker, and set up GitHub Actions CI/CD pipelines that spin up reproducible staging builds on every merge to AWS. I am comfortable with Slack, Jira, and daily stand-ups. One thing I will set up early is a shared Alembic migration workflow with a CI gate that blocks merges if a migration conflicts with the current schema. On multi-developer Python/Postgres projects, database migration conflicts are the most common source of broken staging builds — catching them before merge saves significant debugging time. Questions: 1) How many microservices are in the current stack, and are they all FastAPI or a mix? 2) Is the Kubernetes cluster managed (EKS) or self-hosted, and do you use Helm charts for deployments? Looking forward to talking through the details. Kamran

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Java, Python, MySQL, Amazon Web Services, PostgreSQL, Docker, Kubernetes, FastAPI and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@LiveExperts

Hello, With a focus on turning your ideas into a reality, Live Experts LLC can deliver a cutting-edge software solution precisely tailored to meet your needs. As an AI-focused project, our proficiency in Python including FastAPI and linking it to PostgreSQL and Redis, will provide you with the solid back-end development foundation required. This is complemented by our ability to navigate Docker and Kubernetes efficiently enabling us to ship clean, well-tested code with the aid of Github Actions, ultimately setting up reproducible builds. In addition to our extensive computer science background, we have solid expertise in Linux and related technologies that power the backend operations supported by skills in AWS tools as well. We match your expectation of at least 90% test coverage and have experience working with CI/CD workflows for smooth service deployment and updates. With Advanced Engineering Tools and a comprehensive capacity for using platforms such as Jira, Slack and daily stand-ups we make sure we are on par with Indian Standard Time for seamless collaboration. Our dedication to consistent progress reporting and attention to detail across all facets of a project make us ideal partners for meeting your demands. Let’s discuss how we can not just meet but exceed these expectations for this project together! Contact Live Experts LLC today. Thanks!

@extreamcode

Hi there, I’ve read your note about scaling an AI-focused product team and I’m confident I can join as a reliable back-end partner. I specialize in Python back end with FastAPI, PostgreSQL, Redis, and containerized deployments on Docker/Kubernetes. I’ve delivered secure REST endpoints aligned to Swagger specs, implemented comprehensive unit and integration tests reaching 90%+ coverage, and set up reproducible CI/CD pipelines (GitHub Actions) that spin up staging builds on every merge for AWS deployments. I’ve also led code reviews, weekly progress updates, and collaborated across time zones, including IST, Slack, Jira, and daily stand-ups. What I’ll bring to your team: - Robust API design with security, observability, and clear documentation. - Efficient database queries, migrations, and data modeling tuned for ML pipelines. - Reliable Docker/Kubernetes workflows with telemetry and rollback strategies. - Automated testing strategies (pytest, coverage targets) and lightweight mocks for ML data feeds. - Clean, maintainable code with strong GitHub Actions, ensuring reproducible builds. I’ve shared an initial estimate based on your description, and once we go over a few technical or functional details, I’ll confirm the exact cost and delivery schedule. I’m ready to start promptly and align with your preferred cadence and tooling. What are the key milestones you want in the first 4 weeks (e.g., API surface for ML intake, staging CI/CD setup, initial test coverage, security har

@Rekhathakur

As a seasoned Indian back-end developer with over five years of experience, I have a deep understanding of your tech stack requirements and the skills to deliver robust software solutions. My proficiency in Python, FastAPI, coupled with my expertise in managing databases such as PostgreSQL and Redis running on Docker and Kubernetes, makes me the perfect fit for your project. Furthermore, my comprehensive knowledge of creating CI/CD workflows and conducting code reviews aligns perfectly with your desired process. Over the years, I've had the opportunity to work with various global clients across industries like healthcare, e-commerce, fintech, proptech among others. This exposure has honed my ability to adapt to diverse requirements and deliver highly scalable digital products. My strong focus on security and data management ensures data protection and system reliability in every project - a crucial factor when it comes to AI-focused projects like yours. My development & deployment experience using Docker and AWS demonstrates my ability to set up efficient infrastructures - a key skill you're looking for. Collaboratively, I'm experienced in using platforms like Slack, Jira, as well as participating in daily stand-ups which would guarantee seamless communication throughout the project. You deserve an experienced professional who understands your needs inside out – let’s connect and get started!!!!

@offshore9006

Hi There: Hope this note finds you in great spirits. Having over 5+ years of experience, having the following skills. Have built Report generation, BI and Survey platforms. Will love to share the Case studies and client references if required. https://www.freelancer.com/projects/python/Programmer-for-AngularJS-Python-twisted/details Key skills :
Backend: Python, Django, Flask, Redis, Celery, ML, AI, Deep Learning Database: MySQL, MongoDB Frontend: Angularjs, Reactjs, JavaScript, Bootstrap, Html, CSS, D3.js, NVD3, Chartjs Participation in the entire development lifecycle, from planning through implementation, documentation, testing, and deployment, all the way to monitoring.
 Strong expertise in Python (2.7, 3.6) and Python-based web frameworks Django, Flask
Good knowledge of database schemas and converting business requirements to code Responsible for maintaining and updating an in-house ERP system using a Python/Django backend with a Django REST Framework-based API
Responsible for writing APIs to manage complex CRUD operations, Dashboard related queries and performance optimisation Dynamic Complex Forms creation using MongoDB
Notification Engine using Python, Django and Web Sockets Unit Testing Using Pytest Look forward to hearing from you!! Thanks,

@corpmember29

HELLO, WE HAVE WORKED ON SIMILAR PYTHON-BASED BACKEND PROJECTS AND CAN PROVIDE EXAMPLES. WE COMPLETELY UNDERSTAND YOUR REQUIREMENT FOR DEVELOPERS EXPERIENCED IN PYTHON (FASTAPI), POSTGRESQL, REDIS, DOCKER, AND KUBERNETES, FOCUSING ON CLEAN API DESIGN, DATABASE OPTIMIZATION, AND CI/CD PIPELINES. WITH 10+ YEARS OF EXPERIENCE IN BACKEND DEVELOPMENT AND CLOUD DEPLOYMENTS, I CAN DELIVER: WORKING FLOW → REQUIREMENT FINALIZATION → ANALYSE API SPECIFICATIONS AND ML PIPELINE NEEDS API DEVELOPMENT → SECURE REST ENDPOINTS WITH SWAGGER DOCS DATABASE OPTIMIZATION → POSTGRESQL QUERY TUNING AND REDIS CACHING TESTING & CI/CD → UNIT & INTEGRATION TESTS (90%+ COVERAGE), DOCKERISED SERVICES, AUTOMATED STAGING BUILDS MONITORING & DELIVERY → WEEKLY PROGRESS REPORTS, CODE REVIEWS, AND DOCUMENTATION I WILL PROVIDE 2 YEARS FREE ONGOING SUPPORT AND COMPLETE SOURCE CODE. WE WILL WORK WITH AGILE METHODOLOGY AND WILL GIVE YOU ASSISTANCE FROM ZERO TO DEPLOYMENT ON AWS. I EAGERLY AWAIT YOUR POSITIVE RESPONSE. THANKS

@royalwebraisers

Hi, As per my understanding: Scale AI product team with Indian back-end dev expertise—Python/FastAPI APIs to PostgreSQL/Redis, Docker/K8s deployment, 90%+ test coverage, CI/CD via GitHub Actions to AWS, IST code reviews/stand-ups. Implementation approach: - Build secure REST endpoints per Swagger specs with unit/integration tests. - Containerize services, automate CI/CD pipelines for staging builds. - Optimize DB queries, document APIs for ML pipeline feeds. I'll share my portfolio on your first message—perfect IST fit! Best Regards

@abhisaini0188

My fellow innovators, Having devoted more than 8 years to full-stack development, including extensive work in the expansive field of AI, I am deeply equipped with the relevant expertise you are seeking for your AI-focused product team. Throughout my career, I’ve cultivated a fervor for designing AI-powered web applications and utilising Machine Learning models. Additionally, I have a depth of experience in automating business processes using AI agents and APIs – a skill that runs parallel with your need to write robust APIs for machine learning pipelines as part of your back-end development. I see my approach aligning strongly with the key goals of this project; be it hitting above 90% code coverage or implementing well-documented REST endpoints, the ethos of creating clean well-tested code not only resonates with me but drives my performance. My daily availability lies within Indian Standard Time and I am comfortable collaborating across Slack, Jira, and participating in daily stand-ups. These platforms allow us to interact seamlessly even in remote work settings. I can navigate effectively through Docker and Kubernetes just as comfortably as you desire. Together, we can master this intelligently itircnstupefied timeseries improvement. With Regards!

@DeveloperStation

Hi, We’ve built several AI products, including a web app that uses FastAPI to serve models and process data from multiple sources. We also developed a Chrome extension to extract data from LinkedIn and other sources, which was then processed by our models. We have extensive experience with CI/CD pipelines, Docker, and Kubernetes, and we can set up a fully automated pipeline that runs tests and deploys only when they pass. We’re a team of 3 full-stack developers, 2 front-end specialists, and 1 UI/UX designer, so you can choose the right expert for each task. We’re also flexible and can adjust our working hours to match your schedule. Let’s schedule a 10-minute introductory call to discuss your project in more detail and see if I’m the right fit. I usually respond within 10 minutes. I’m eager to learn more about your exciting project. Best regards, Adil

@webperfection123

Hi, I specialize in back-end web development with a strong focus on Python and FastAPI, and I have extensive experience designing secure REST APIs. I’ve successfully worked on projects that involved optimizing PostgreSQL queries and implementing CI/CD pipelines with Docker and Kubernetes. I’m comfortable with writing tests to achieve high coverage standards and utilizing GitHub Actions for shipping reliable code. My daily availability aligns with Indian Standard Time, and I’m familiar with using Slack and Jira for effective collaboration. Let’s connect and discuss how I can contribute to your team’s success. Looking forward to it! Best Regards, Priyanka

@juanjosec63

Hi, As a individual developer and I can jump into on your suitable time. I can help in your project building and scaling backend services, focusing on FastAPI API development, PostgreSQL query optimization, Redis caching, secure REST endpoints, and integration with ML pipelines in a production environment. With my expertise in full-stack development and experience working with modern web technologies like Python, FastAPI, PostgreSQL, Redis, Docker, Kubernetes, AWS, CI/CD with GitHub Actions, and automated testing, i can fix this quickly. You can expect clear communication, fast turnaround, and a high-quality result that fits seamlessly into your existing workflow. Best regards, Juan

@pinkeegupta

Hello I can deliver accurate, data-driven, and scalable solutions for your needs. I bring 9+ years of combined experience in Python development, Data Science, Data Analytics, and Business Intelligence, helping clients turn raw data into meaningful insights and actionable dashboards. My Core Expertise Includes: Node js , React Js, Mongo , Blockchain, crypto currency Python Development: Pandas, NumPy, Scikit-learn, FastAPI, Flask, Django Data Science & Machine Learning: Data cleaning, EDA, predictive modeling, AI/ML solutions Data Analytics: Statistical analysis, reporting, automation, data mining Power BI: Interactive dashboards, DAX, Power Query, data modeling, KPI reporting Databases & Big Data: SQL, NoSQL, SparkML AI & Frameworks: TensorFlow, PyTorch, Cursor, Calude, gemini, nano, chatgpt. I focus on clean code, clear insights, performance optimization, and business-oriented outcomes. I ensure timely delivery and transparent communication throughout the project lifecycle. Let’s connect to discuss your requirements in detail and define the best approach for your project. Looking forward to working with you. Regards, Anju

@FaizalShaik80

Hi, hope you are well. I went through your project details and found that I worked on almost the exact same task about two months ago. I am a skilled freelancer with 6+ years of experience in Java, Python, FastAPI, MySQL, PostgreSQL and I can deliver the results as quickly as possible. Please visit my profile to check the latest work and honest client reviews. Looking forward to working with you, connect in chat. Talk soon.

@vishal1145

Your ML pipelines will choke if your FastAPI endpoints aren't designed with async request handling and connection pooling from day one. I've debugged this exact bottleneck for two AI startups where synchronous database calls created 8-second response times under concurrent load. Before architecting the solution, I need clarity on two things: What's your expected request volume per endpoint during peak inference hours, and are you running read replicas for PostgreSQL or hitting a single primary instance? These answers determine whether we need PgBouncer pooling or a full read/write split architecture. Here's the architectural approach: - FASTAPI + POSTGRESQL: Implement async SQLAlchemy with connection pooling to handle 5K+ concurrent requests without blocking your ML inference queue, plus query optimization using EXPLAIN ANALYZE to keep response times under 150ms. - DOCKER + KUBERNETES: Build multi-stage Dockerfiles that reduce image size by 60%, configure HPA autoscaling policies, and set up liveness/readiness probes so your pods restart before they crash under memory pressure. - AWS + GITHUB ACTIONS: Create CI/CD pipelines with automated pytest runs, security scanning via Trivy, and blue-green deployments to EKS so rollbacks take 30 seconds instead of 30 minutes. - REDIS CACHING: Layer Redis in front of frequently accessed model metadata to cut database load by 70% and prevent your Postgres instance from becoming the bottleneck during traffic spikes. I've built similar ML-serving infrastructure for three AI products that scaled from prototype to 50K daily API calls. I don't take on projects where the database strategy isn't clear upfront because that's where 80% of performance issues hide. Let's schedule a quick technical call to walk through your current architecture and edge cases before we commit to a build timeline.

@alizain721

Hiring reliable back-end engineers who actually deliver secure, tested APIs that plug straight into ML pipelines is tough. I’ve done that exact work recently. The best thing about me is I’ve worked on a very similar project recently: Skallix, an AI SaaS where I built FastAPI endpoints feeding ML services, tuned Postgres queries, used Redis for caching, containerised services with Docker and deployed to Kubernetes, and pushed CI/CD via GitHub Actions to AWS. I also wrote unit and integration tests to meet high coverage and kept Swagger docs in sync. I understand the user flow: client calls REST endpoints, FastAPI validates and queues work for ML pipelines, results persist in Postgres and cached in Redis. The stack you listed fits perfectly with my experience. I can save you time because I’ve shipped the same patterns and CI workflows before. Do you already have Swagger specs and staging infra, or should I draft them? Also, any preferred test coverage or CD rollout strategy? I’m available 10:00 AM to 7:00 PM IST, comfortable with Slack, Jira and daily stand-ups. Ready to start—happy to chat or jump on a quick call. Regards Ali Zain!!

@KarthikTechCon

Hi, I’m Karthik, with 15+ years of experience in backend engineering, cloud-native systems, and AI/data platforms. I’ve built scalable APIs using Python (FastAPI), PostgreSQL, and Redis, deployed via Docker/Kubernetes on AWS. **Relevant Expertise:** • FastAPI-based REST APIs aligned with Swagger/OpenAPI specs • PostgreSQL query optimization, indexing, and performance tuning • Redis for caching, queues, and low-latency pipelines • Containerization (Docker) + orchestration (Kubernetes/EKS) • CI/CD with GitHub Actions (test → build → deploy pipelines) • Writing clean, testable code with 90%+ coverage (pytest) **What I’ll deliver:** • Secure, well-documented APIs integrated with ML pipelines • High-performance data access and optimized DB queries • Fully automated CI/CD workflows with reproducible staging builds • Structured weekly updates and active participation in code reviews **Collaboration:** ✔ Available in IST with overlap flexibility ✔ Comfortable with Slack, Jira, stand-ups, and async workflows ✔ Strong ownership mindset and independent contribution I’ve delivered similar backend systems for AI platforms and data-intensive applications. Can share project references on request. Available to start immediately. Let’s connect. Warm Regards, Karthik Resonite Technologies

@MIndlabsAi6

Hello, I'm Vishal Maharaj, a seasoned developer with 20 years of expertise in Python, MySQL, AWS, PostgreSQL, FastAPI, Docker, Kubernetes, and Java. I have carefully reviewed your project requirements and am confident in my ability to deliver exceptional results. To ensure success, I will design and implement secure REST endpoints based on Swagger specs, write comprehensive tests, containerize services for seamless deployment, and provide regular progress updates aligned with Indian Standard Time. I have a proven track record in back-end development and am well-versed in collaborating through Slack, Jira, and daily stand-ups. Let's discuss further details and initiate the chat for a successful collaboration. Cheers, Vishal Maharaj

@mugencodes

Hello, I understand that you are looking for experienced Indian software developers specializing in back-end web development for your AI-focused product team. Your core stack includes Python (FastAPI), PostgreSQL, Redis, Docker, and Kubernetes. The main tasks involve developing robust APIs, optimizing database queries, and ensuring clean code deployment on AWS through GitHub Actions. I have previous experience working on a similar project using Python, MySQL, Docker, FastAPI, PostgreSQL, and Java. One of the challenges I faced was optimizing database queries for improved performance, which I successfully resolved by implementing indexing and query optimizations. I believe a call would be beneficial to discuss your project requirements further. I am excited about the opportunity to contribute to your team and help achieve your project goals. Looking forward to connecting and discussing this opportunity in more detail. Regards, Jayabrata Bhaduri