AI Chatbot
Streamlit chatbot with a historical browser smoke test; current UI status is documented separately.
AI / GenAI Engineer · Data & AI
Building useful AI systems on real data.
I build practical AI systems that combine Python, LLMs, RAG, Agentic AI, SQL, and data engineering to solve real-world business and operational problems.
Data Engineering↓SQL / ETL / BI↓Python / ML↓LLMs / RAG / Agents↓MCP / Production AI
Verified
🚀 Live AI Demos
Enterprise RAG
Retrieval-augmented Q&A system with a reachable public page and documented retrieval limits.
Text-to-SQL
Schema-aware SQL demo rendered in deterministic hosted mode; connected backend behavior is a separate claim.
Meeting Notes API
FastAPI service with a reachable health endpoint and locally tested analysis workflow.
Applied AI
What I build
Systems designed around a real workflow, reliable data, and a clear path to production.
AI Assistants
LLM-powered assistants for SQL, documentation, operations, and business workflows.
RAG Systems
Knowledge assistants using ingestion, embeddings, vector search, citations, and grounded responses.
AI Agents
Agents that use controlled tools and APIs to perform practical data and engineering tasks.
Data Intelligence
AI-powered SQL analysis, ETL troubleshooting, anomaly detection, and data-quality workflows.
Document Intelligence
Summarization, analysis, Q&A, editing, and structured information extraction.
Production AI
FastAPI, Docker, evaluation, monitoring, security, and production-oriented architecture.
Working toolkit