Founder & AI Systems Architect | AI Knowledge Systems Builder
I design and build production-grade AI knowledge architectures, complex RAG pipelines, and adaptive learning systems. Specialized in parsing complex unstructured data and building deterministic multi-agent state machines.
- GastroGut Ingestion Engine: Health data ingestion pipeline extracting PubMed, Cochrane, and NHS data into verified, EEAT-compliant knowledge reservoirs using advanced semantic partitioning.
- BlaBlang Spaced Repetition Engine: Next-gen adaptive learning engine & low-latency voice feedback pipelines built with multi-agent consensus protocols.
- HubSync Automation: Personal cross-platform social media state/content sync CLI engine for developers.
- AI & RAG Ecosystem: Multi-Agent Systems, LangChain / LangGraph, LlamaIndex, Vector DBs (Pinecone, PGVector, Supabase)
- Systems Architecture: Polyglot focus (Python, TypeScript, Kotlin / Jetpack Compose, PHP, SQL) dedicated to selecting the right leverage for the specific problem rather than being tool-bound. Focuses on async queue management, memory footprint optimization, and edge environments (Vercel Edge, Cloudflare Workers).
"Complexity should only live where it produces competitive leverage. In all other places, clean abstraction and robust tooling should dry it out."
Find me on LinkedIn or track my public builder journey right here.