Senior AI Engineer. Physics PhD in Quantum Chaos. Ex-Citadel Engineering. Writing & building at the edge of LLMs, data platforms, and indie software.
“First-principles from physics, gut-feel from years of debugging hundreds of billions of records.”
My work spans applying LLMs to improve data/ML pipeline reliability, using first-principles physics to plan petrochemical plant construction, developing hedging strategies for insurance products at a publicly traded company, and debugging data-quality issues inside hundreds of billions of records at a hedge fund.
Currently focused on orchestrating AI agents to build a production SaaS platform, and writing about what works when the tools change every three months.
Practice everyday math in a fun way.
A platform with hundreds of everyday mental-math games — arithmetic, finance, sports, daily scenarios — built for both solo skill-building and real-time multiplayer. Typed input, no multiple choice, not LLM-cheatable.
Column-level lineage for SQL.
A Python library that extracts column-level lineage from SQL queries through static analysis. Understands which source columns feed each output column — without executing queries or connecting to databases.
End-to-end streaming & batch pipeline.
A production-style platform demonstrating modern data engineering practices: streaming + batch ingestion across SaaS sources (Shopify, Stripe, HubSpot), cross-source entity resolution, and a multi-layer medallion pipeline from Raw through Marts.
Interactive 3D LEGO-style text generator.
Type any text and watch it construct itself, brick by brick, in an animated Three.js scene. The hero on this page uses the same engine.
The same idea, re-imagined in the terminal.
A Rust terminal app that transforms text into ASCII art using brick-like blocks and Unicode box-drawing characters, with drop physics and marquee scrolling.
Open to new collaborations, conversations about data systems, LLM infrastructure, or the kind of side projects that turn into real businesses. Reach out — I reply.