AI Agent & Cloud Advisory Engineer

@dushyant317

Hello, I’ve carefully reviewed your project requirements and clearly understand the tasks involved. I have 13 years of experience and strong expertise in the exact skills this project requires. I have successfully delivered similar projects before and can share relevant samples if needed. I will complete this within your expected timeline while maintaining quality and clear communication. I look forward to working with you and contributing sincerely to your project’s success.

@yogeshjoshi9

Hi I am an expert in CI/CD pipelines (specifically Jenkins), and extensive experience constructing pipelines that process and ingest data, I would be an ideal fit for the AI Agent & Cloud Advisory Engineer role you have available. My deep understanding of documentation pipelines, data ingestion workflows, and familiarity with CloudOps tooling puts me at a vantage point in transforming your existing ecosystem into a more integrated and efficient one. Further to this, I am also skilled in Python scripting which would allow me to set up maintainable Jenkins pipelines as well as troubleshoot any issues along the way. In conclusion, my expertise extends to not only creating automated systems but ensuring their longevity through thorough testing and validation. I'm motivated by the challenge that this project presents, and my continuous drive to push boundaries in AI use cases means that if selected for this project, you'll benefit from not only my current skills but also my ongoing development. Let’s connect and discuss your specific requirements in more detail; I look forward to contributing to your initiatives.

@tamannarajput18

As an accomplished Full Stack Developer with a strong focus on cloud-based technologies and AI automation, I firmly believe I am the perfect fit for your project. Over the past 6+ years, I have worked extensively on projects involving CI/CD pipelines (specifically Jenkins), data processing, and API integrations - which aligns seamlessly with your stated goals. I have a thorough understanding of documentation pipelines and data ingestion workflows, which combined with my proficiency in Python scripting gives me an edge in building the automated data ingestion pipelines you require. Additionally, my familiarity with RAG-based systems and chunking strategies will be invaluable in ensuring effective and seamless retrieval of data for ingestion by the AI agent. My experience in integrating AI agents with existing architectures perfectly aligns with your need to incorporate escalation mechanisms for the CloudOps agent. Moreover, my knowledge of Linux AI agent escalation procedures will allow me to aptly adapt and implement these mechanisms in a manner that best suits the new bot architecture. For an efficient and effective completion of this project, let's collaborate!

@eba3

i am machine learning engineer and I'm confidently happy to do it and promise this will be non AWS clean ai agent

@technosagainfot3

Hello, I am an experienced Cloud and Automation Engineer with strong expertise in Jenkins, CI/CD pipelines, and AI agent integration. I have hands-on experience building automated documentation ingestion pipelines, processing Markdown into RAG-compatible chunks, and integrating data into AI-driven operational systems with version tracking and incremental updates. I am comfortable adapting and implementing Linux-based escalation mechanisms for AI agents, ensuring smooth validation and seamless integration within CloudOps environments. With solid Python/Shell scripting skills, I can efficiently manage automation, testing, and troubleshooting. I can deliver consistent results in a part-time (2 hours/day) setup and integrate quickly into your existing CloudOps ecosystem. Looking forward to contributing to your Cloud Advisory and Cloud Accelerate initiatives.

@venkatak66

Hi, This role is spot-on for my expertise. I build end-to-end AI agents + RAG pipelines and automate data ingestion workflows daily, including Jenkins CI/CD for documentation processing. Why I'm the right fit: - Jenkins pipelines: Built 20+ for repo-triggered data pipelines (Markdown → chunked RAG data) - RAG chunking: Expert in DRIFT-compatible processing, incremental updates, version tracking - AI Agent escalation: Implemented context-aware handoffs in production CloudOps agents - CloudOps automation: Python/Shell scripting for operational workflows - I can start immediately (2h/day flexible) and deliver: - Automated doc ingestion pipeline (commit → DRIFT chunks → agent) - Escalation integration matching your Linux agent patterns Full testing + validation workflows Happy to hop on a quick call to discuss your CloudOps Central Server setup.