// AI Systems Engineer
RAG pipelines, AI agents, full-stack apps.
TypeScript, Python, Next.js, FastAPI.
// Projects
AI research agent using Amazon Nova with RAG and vector search for intelligent information retrieval.
Multi-agent medication reconciliation using A2A protocol with MCP tools and FHIR integration.
AI agent connecting GitHub, Calendar, and Slack through Auth0 Token Vault for unified developer context.
Failed Stripe payment recovery SaaS with automated dunning emails and multi-tenant support via Stripe Connect.
Customer feedback boards — a Canny alternative with kanban views, changelogs, and an embeddable widget.
Real-time AI interview coach using Gemini Live API with Vision for body language and response analysis.
Chrome extension using Gemini Vision to intelligently guide users through complex web forms with contextual assistance.
// Stack
Languages
Frontend
Backend
AI / ML
Infra
Payments
// Writing
Black Holes, Entropy, and the Architecture of Machine Memory
Information Theory
Building Multi-Agent Systems with the A2A Protocol
AI Engineering
RAG Is Not Dead: Production Patterns That Actually Work
RAG / Search
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Build, Deploy, and Monetize Autonomous Systems. 12 chapters, 40,000+ words, real code in Python and TypeScript.
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