Current Work
Founder of MyDocumentIntelligence.com, an AI-driven document intelligence platform for legal and healthcare workflows. The system processes PDFs and contracts end-to-end — applying LLM-driven classification, clause extraction, and risk evaluation to accelerate review — on a hybrid architecture that supports leading frontier cloud models alongside privacy-preserving local models, purpose-built for attorneys and legal-operations teams.
Document intelligence pipeline · ingest, parse, segment, embed, extract
Knowledge Base
This site is a working reference of notes, diagrams, and code patterns accumulated while designing and operating data and ML systems in production. It is organized by domain and kept close to the primary sources.
| Area | Coverage |
|---|---|
| Flagship Project | End-to-end architecture deep dive on MyDocumentIntelligence.com: ingestion, hybrid retrieval + reranking, frontier/local LLM routing, structured citations, RAGAS evaluation, and AWS deployment. |
| LLM Engineering | Production patterns for 2026: agents and Model Context Protocol (MCP), function calling and structured output, RAG evaluation with RAGAS, hybrid search and reranking, vLLM and quantization, LangGraph and DSPy. |
| AI & Machine Learning | Retrieval-augmented generation, vector stores (FAISS, Chroma, pgvector), neural-network architectures, natural-language processing, recurrent models, Hugging Face tooling, and document-ingestion pipelines. |
