CHAPTER_01 // IDENTITY
AI Systems Engineer & Full-Stack Developer
Architecting high-provenance RAG pipelines and multi-agent backend ecosystems for production-grade intelligence.
CHAPTER_02 // ARCHITECTURE
I bridge the gap between experimental AI and hardened production software through four core pillars.
Evaluation & Provenance
FastAPI & Robustness
HIPAA & Compliance
React & Next.js
CHAPTER_03 // DEPLOYMENTS
Verifying claims against source documents in real-time with <1ms overhead.
Scaling healthcare operations through robust, compliant API ecosystems.
LLM-powered clinical assistants with rigorous citation compliance frameworks.
ReAct reasoning pipeline with episodic memory, tool calling, and real-time SSE streaming UI.
CHAPTER_04 // TRANSMISSION
Turn any website into an AI-queryable endpoint in under 5 minutes.
Splitwise for Walmart receipts — PDF in, per-person totals out.
Input a GitHub URL. Get a live clickable flow graph of the entire request lifecycle.
Remote command center for AI agents — start, stop, and monitor any fleet from one dashboard.
CHAPTER_05 // INTELLIGENCE
IISE ANNUAL CONFERENCE 2026. Investigating the intersection of LLMs and Clinical Decision Support - patient-ready summaries with domain-scoped trust boundaries and 85% citation compliance.
CHAPTER_06 // CORE_LOGIC
I am obsessed with moving intelligence from experimental notebooks into high-performance production environments.
Whether it's optimizing RAG latency to 1ms or architecting HIPAA-compliant data lakes, my focus remains constant: Signal over Noise.