25+
AI and LLM platforms
Agent tooling, multi-provider gateways, grounded citations, streaming interfaces, and eval systems used by production teams across the firm.
$FF4052 · player one
Lead software architect and hands-on engineer building trustworthy AI platforms, resilient data systems, and low-level software.
I lead GenAI and LLM platform work at a management consulting firm, where the systems I build support 25+ teams. Outside work, I reverse engineer arcade hardware and train fighting-game agents.
Production platforms, applied ML, and machine-level research.

No source, no documentation, encrypted program code: two fighters now run on their own relocated 1998 code inside a ROM that had no room for them.

The first character ever ported from the Dreamcast/NAOMI generation back into a CPS-2 game: 14,095 lossless tiles, a hijacked skeleton, and behaviour authored in 68000.
A 2.2-million-parameter memorial policy trained from 7,554 recorded matches, with a hand-written browser inference path you can run here.
Capabilities tied to shipped outcomes, not a keyword wall.
25+
Agent tooling, multi-provider gateways, grounded citations, streaming interfaces, and eval systems used by production teams across the firm.
~99%
Re-architected a high-volume analytics platform from API polling to Kinesis event streaming, sharply reducing calls and infrastructure cost.
77%
Took deepest-level accuracy from roughly 4% to 77% in a four-level, 137-path classifier with weighted loss, focal loss, and branch oversampling.
64MB
Built the custom emulator core that raised the graphics ceiling to 64MB, relocated 68000 code into free ROM space, and gated every claim on live execution.
Build notes, technical decisions, and reproducible evidence.
Continue?
I'm happy where I am, so this isn't a pitch. But I read every email, and these are the problems I like: agent tooling, evals, LLM infrastructure, or anything stubborn down at the machine level. Send yours over and I'll tell you what I actually think.