Every project below has a quantified eval score, an observability layer, and a deployed URL. Most intensive pipelines live in private repos due to regulatory data constraints — the code is real, the metrics are real.
|
Agentic AI Audit Platform for Financial Compliance
Result: |
Full-Stack Clinical AI SaaS Platform
Result: |
|
Cross-Industry RAG Benchmarking Platform
Result: |
Autonomous Financial Risk Intelligence via SEC EDGAR
Result: Processes 10-K filings end-to-end · Deployed to production |
|
Multi-Model Chat System with Mode Switching
Result: Seamless model switching · Production-grade conversation management |
Model Context Protocol Note-Taking CLI
Result: End-to-end MCP implementation · Protocol-level AI tool experience |
Actively building since Jan 2025 · 2 publications · 3 production-deployed AI systems · 6 public repos Most intensive work (LangGraph pipelines, eval harnesses, compliance infra) lives in private repos due to data sensitivity.