shailesh yadav

I’m an AI/ML Engineer with 3.8+ years of production engineering experience, specializing in Generative AI, RAG pipelines, and LangChain/LangGraph agentic systems. I build and deploy end-to-end LLM applications—going beyond notebooks to real systems that can be served reliably.

I’ve shipped LLM solutions using GPT-4, Gemini, and Hugging Face, then served them with FastAPI and Docker on AWS. My focus is turning prototypes into production-ready services, with strong REST API design, robust input handling, and deployment consistency.

In my projects, I’ve engineered a 4-agent sequential research pipeline (Search → Reader → Writer → Critic) with LangChain agents and LCEL chains, integrating Tavily search and BeautifulSoup scraping for grounded reports. I also built an e-commerce RAG chatbot that ingests and vectorizes 5,000+ product records into AstraDB for low-latency semantic search, improving query resolution by ~35% over keyword search.

Alongside GenAI work, I bring practical full-stack and API experience from delivering 8+ B2B web applications and building full CRUD APIs. I’m at my best when I can design the full path—from data ingestion and retrieval to agent orchestration and user-facing interfaces.