I build production-ready RAG systems and knowledge chatbots that help businesses search, retrieve, and reason over internal documents with high accuracy. As a Senior AI/ML Engineer with 7+ years of experience, I specialize in designing scalable document intelligence systems using Langgraph/PydanticAI, LanceDB, FastAPI, and leading LLM providers including OpenAI, Gemini, Claude, and Llama.
What I deliver:
- End-to-end RAG pipelines for internal knowledge bases, support systems, and document Q&A
- Semantic search systems with vector databases, metadata filtering, and retrieval optimization
- Document ingestion and preprocessing pipelines for PDFs, reports, policies, manuals, and enterprise files
- Multi-model LLM integrations for summarization, question answering, and grounded responses
- Scalable backend APIs for production deployment and team workflows
- Reliable architectures designed for maintainability, speed, and real business usage
Past impact: Built enterprise-grade AI systems focused on document understanding, semantic retrieval, and structured knowledge workflows. My background includes designing production AI solutions that balance retrieval quality, system performance, and long-term maintainability.
Whether you need an internal knowledge assistant, customer support chatbot, enterprise search tool, or document intelligence workflow, I deliver clean, scalable, and production-grade RAG solutions. Let's build something useful together.