AI Ops Lead at Supermix
Day-to-day AI operations — managing LLM systems, shipping AI products, bridging the gap between research and production. Increasingly doing the building myself.
AI Ops Lead · Builder · MSEH
AI-native builder. Published researcher. 52 apps shipped. Looking for the right team to build with.
Current work
Day-to-day AI operations — managing LLM systems, shipping AI products, bridging the gap between research and production. Increasingly doing the building myself.
52 production apps shipped in 4 months: AI workflow demos, voice AI assistant, multi-agent systems, context engineering studio, AI interview simulator, salary negotiation simulator, behavioral interview coach, system design interviewer, legal AI pipelines, autonomous research agents, code migration tool, prompt evaluation tools, workout tracker, finance dashboard, MCP server demos. All live, all in the portfolio. Learning by doing — fast.
Published researcher on exercise physiology and endurance performance (AUT, New Zealand). The science informs the apps — Durability Analyzer was built directly from my own peer-reviewed methodology.
Selected work
These are the projects that best represent the mix of AI systems, product judgment, and sports science work on the site.
Built in 4 weeks
A workout tracker that actually understands strength training
Built in 1 week
Evidence-based training load monitoring for endurance athletes
Built in One overnight session
A 4-stage LLM pipeline where you can see every step
Built in One overnight session (March 8, 2026)
AI Research Agent — Built with AI assistance in one session
Live dashboard
A live snapshot of the repos, pull requests, and shipping cadence behind the systems I build with AI agents.
Further work
A smaller set of product, data, and sports science projects that best represents how I work.
View projects →Contact
Email is best. GitHub and LinkedIn are there if you want to see more of the work behind the page.