At Codenza Technologies LLP, I develop AI-powered applications using Python, large language models, LangChain, and LangGraph, translating business requirements into production-grade solutions.
I designed end-to-end RAG pipelines for document ingestion, preprocessing, chunking, embeddings, retrieval, and context-aware response generation. I also built semantic search and document retrieval solutions with FAISS and ChromaDB.
I developed LangGraph agent workflows with state management, tool integration, and multi-step task execution, and integrated AI capabilities into downstream applications through FastAPI and REST APIs.
On the Enterprise Document Intelligence & Summarization Platform, I built document summarization and structured information extraction using Claude Sonnet, Python, and FastAPI, then deployed the solution with Docker and Azure. I also developed and deployed an enterprise knowledge assistant that grounds answers in internal documentation.
