Twenty years of startup engineering, pointed at the organizations that need it most

Twenty years building startups. Y Combinator Techstars. Early engineer to technical co-founder, Series A through acquisition — the full arc, many times over. Enough reps that the pattern is muscle memory, not theory.

The pivot to impact work was pattern recognition. The same data pipelines, ML infrastructure, and integration middleware I'd been building for companies optimizing engagement metrics could transform organizations tracking ransomware attacks, investigating war crimes, or protecting children from predatory tech. The nonprofits doing the hardest work were running on spreadsheets and manual processes — not because better tools didn't exist, but because nobody was building them for orgs operating on mission-driven budgets.

So I started building them. Senior engineer, hands on keyboard, embedded inside your org — writing the data pipelines, training the models, deploying the infrastructure that lets you focus on your mission instead of fighting your tools.