AI/ML Engineering & Writing
Posts, talks, publications, and the work surrounding my upcoming O’Reilly book on AI agent memory.
Building
Founding engineer at Workhelix, building the Nucleus platform that helps enterprises measure and grow AI ROI. Async LLM APIs, embedding pipelines, and agent deployment for Fortune 50 customers like Autodesk and Nasdaq.
Founding Engineer
Writing
Writing Agent Memory: Building Stateful AI Agents That Remember, Adapt, and Work Across Time for O’Reilly. Previously published two O’Reilly reports on AI agents and co-authored AEA research on how LLMs reshape firm-level labor exposure.
Book in progress
Speaking
Turning the Agent Memory book into live talks: how to build AI agents that persist state, manage context, and work across sessions. Speaking throughout 2026 at conferences and meetups. Interested in having me speak? Let’s talk.
2026 engagements open
Selected work
View archiveAI
I'm building my own data structures and algorithms course—a CLI-driven, ladder-based system where mastery comes through doing, not watching…
year in review
Reflections on a year of milestones—getting engaged in Florence, publishing with O'Reilly and the AEA, raising a Series A at Workhelix, and…
OpenAI
A technical deep-dive into building a production-ready text-to-speech pipeline for blog posts using OpenAI's TTS API, smart text processing…
AI
A new paper on the impact of AI on labor demand at the firm level.
Upcoming publication
A practical guide to how AI systems remember, retrieve, compress, and act on information in production. The book extends the same technical arc as the posts and talks.
Stay in the loop
No spam — just updates when something new ships or the book hits a milestone.