United States
🙋🏻♀️ I build AI products using data, behavioral science and first-principles thinking. I turn complex problems into products that people adopt and organizations value. 📌 At the National Institutes of Health (NIH), I transformed an open-ended question, "Could an AI companion improve teen sleep outcomes?" into a context-aware wearable chatbot. I leveraged RLHF (reinforcement learning from human feedback), rapid experimentation and feedback loops. This led to ↑ model performance by 50%, ↑ engagement by ~30%, while maintain user safety, AI trust and regulatory compliance. 📌 At Adobe, I learned that great product management is often about reducing complexity before building solutions. I drove experiment-led product development, streamlined decision-making and improved usability for internal engineering teams, resulting in a ~40% ↓ in scope creep, ~30% ↑ in app usability (Adobe Doc Cloud), and ↑ 11% feature adoption across pilots. 🏆 Highlights • Adobe Women-in-Tech Scholar (1 of ONLY 5 nation-wide) • Winner, Amazon AI for Social Good Award (800+ applicants) • AI PM Fellow, National Institutes of Health • Runner-Up, Microsoft Data Challenge I enjoy building at the intersection of AI, data, user behavior and business impact, whether that's launching 0→1 products, driving growth, improving UX or translating complex technology into measurable outcomes. If you're building AI-first products and looking for a PM who combines analytical rigor, user empathy and strong execution, I'd love to connect: 📩 [email protected]. Core Areas: AI Product Management • Product Strategy • Product Analytics • Experimentation & A/B Testing • User Research • Growth • Roadmapping • Stakeholder Management • GTM Strategy • SQL • Python • Power BI • LLMs • RLHF • Agentic AI • Accessibility & Inclusive Design
Led 5+ internal AI agents from strategy to deployment, automating workflows and enabling faster, data-driven decisions across teams (30%+).
Led product discovery and venture incubation for 6+ startups, launching 3 MVPs that improved average NPS by 15 points and retention by 20%, while scaling community membership by 20%.
Drove AI PM leadership initiatives, scaled membership 3× in Q2'25 & Q3'25 through strategic growth and community engagement.
- Led AI-powered health products, increasing user engagement 30% and sleep detection accuracy 50%. - Shipped 3 AI features in under 7 months with an 8-person ML, UX, and behavioral science team. - Published peer-reviewed research at EAI PervasiveHealth 2024.
- 1 of only 5 fellows nationwide. - Drove Adobe Research’s AI SaaS consumer prototypes from concept to GTM, cutting scope creep 40% and boosting adoption 11% through data-driven prioritization and A/B testing.