AI-native product/engineering leadership. ML/AI, data, developer tools, agent workflows, and systems.
areas #
- people leadership
- agentic software engineering
- AI-native products and workflows
- technical product/engineering leadership
- data & ML/AI + cloud + developer platforms
signal #
- Ascend: built the Agentic Software Engineering (ASE) tooling used company-wide
- Ascend: led the product & engineering management for an end-to-end data platform with a custom agent
- Ascend: developed & shipped features to production across TypeScript, Python, and Rust including MotherDuck integration, agent-first onboarding, public v1 web API, CLI/TUI/SDK/MCP, and more
- Ascend: co-created, co-organized, and led sessions for the Data & AI Bootcamp for data practitioners to upskill on AI & agents; 5,000+ unique registrations and 2,000+ unique attendees
- Ascend: automated numerous product/engineering processes including documentation changelog, screenshots with automated light/dark mode switching & shape drawing, and more
- DuckDB’s DuckLake: PR via Claude Code + Opus 4.5 in C++; OSS contributor in data & ML/AI spaces
- Zenith Analysis: created the production software behind the financial analytics business
- Ibis Birdbrain: shipped an early tool-using text-to-SQL and visualization agent
- Ibis / dbt / Azure ML: led data, ML/AI, developer-platform, docs, examples, product launches, and more
- Shands Hospital: built a local network mesh of Raspberry Pis with microphones & signal processing + ML alerting to non-critical alarms for improved patient care (IRB-approved study)
- Zorto / dkdc.io / netsky: building public AI/data/dev tooling
- MLOps Community: where I talk about agents, open standards, data systems, and production ML/AI
- …and so much more!
artifacts #
The written version is my resume. The conversation version is the slide deck (work in progress).