Building AI products that matter
What I Do
0→1 Product Builder shipping agentic AI products—10 years in data and growth taught me how to find product-market fit fast.
My superpower? A data & GTM domain knowledge taught me the PM playbook: talk to users, build what matters, measure what works, and scale what sticks.
Recently Built
🤖ChatGPT Enterprise Data Assistant
Built RAG-powered assistants reducing analysis turnaround from 2-3 days to minutes (80%+ accuracy). Conducted user research with 20+ PMs and engineers, iterated on conversation design, and accelerated decision-making across product and marketing teams.
📊District Adoption Scorecard
Served as interim PM to drive end-to-end product launch enabling thousands of schools to visualize usage patterns. Drove 12 new district contracts with 40% activation rate in first month.
🚀Vibe Coding Agent (Berkeley AI Hackathon Winner)
Led product strategy and UX for an AI agent that handles pull requests, code reviews, and deployments through Slack. Won 1st place ($10K) among 79 teams.
💙AI Screening Agent for Social Services
Product Lead (pro bono) helping a nonprofit prequalify social services applicants in under 5 minutes vs. weeks. Leading cross-functional team of 5 through 0→1 development.
Beyond AI
I'm also a founding team member for Intuit for Education (1M users), Stanford GSB conference speaker on AI agents, and VC Scout evaluating AI startups.
Before getting into product, I co-founded BadMint.com (player matching platform, 2,000+ users, 70% retention) and spent years in data/analytics roles at OnCourse Learning and ShopperTrak.
Skills
Product
User research, wireframing, A/B testing, roadmapping, stakeholder management, SQL, Python
AI/ML
RAG models, prompt engineering, LangChain, OpenAI API, Claude API, model evaluation
Development
Cursor, Lovable, Vercel v0, AWS, API design, GitHub
Growth
Experimentation frameworks, funnel optimization, cohort analysis