Strategic case studies that show how I think through product risk, delivery constraints, stakeholder alignment, and measurable outcomes.
Open-sourced a self-hosted changelog widget that does what Beamer and Headway do, minus the monthly bill. A single script tag embeds a 4KB widget in any web app, paired with a private React admin dashboard for publishing product updates. Runs entirely on your own infrastructure with SQLite and Docker.
Read case studyProved that safety architecture can be designed into a health AI product from day one. The four-layer system (emergency keyword fast-path, system prompt scope constraints, source transparency, and hallucination prevention through structured citation parsing) handles real diabetes queries with source-backed answers and no unsafe responses in testing.
Read case studyValidated that cultural relevance drives activation: 65% onboarding completion versus 35–40% industry benchmarks. Built an AI fitness coach where the onboarding flow makes culture selection the first product interaction, not a buried preference.
Read case studyDefined the product and go-to-market for real-time prompt injection detection that sits between enterprise applications and their LLM providers with under 50ms overhead.
Read case studyDelivered cross-functional alignment between clinical, payments, and product teams, moving from broad scope drops to staged, measurable delivery in a regulated healthcare and fintech environment.
Read case studyShipped higher-utility billing workflows that reduced payment friction for growing SME merchants and improved platform retention signals.
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