Current Work
Founder of MyDocumentIntelligence.com, PacificAir.com, and others — building AI-powered agents and document intelligence systems for research, legal, contracts, healthcare, and others. My platforms process PDFs end-to-end using LLM-driven classification, clause extraction, and risk evaluation, with a hybrid architecture that pairs cloud models with privacy-preserving local models for sensitive workload.
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. |
