Résumé

Product Manager · New York, NY

• Led the 0-to-1 go-to-market strategy to commercialize content provenance (C2PA) for enterprises, a first for the standard: ran a 10-customer API beta and discovery with 15+ enterprises, and landed the first paid enterprise deal.
• Extended provenance with private, rights-aware metadata (usage rights, expirations, regional limits) that travels with each asset, plus a browser extension to verify ownership and locate assets in the DAM, cutting asset-and-rights lookup time by more than 95%.
• Designed automated asset lineage that links parents, derivatives, and ingredients across the DAM, so teams reuse assets instead of recreating them and can trace every place an expired asset appears, reducing exposure to copyright penalties that reach $150K per asset.
• Built internal AI agents on Claude Code, including a shared skill that turns customer transcripts into a searchable knowledge base now relied on across the team for instant customer context.

Econ Lead TA · Accounting TA · Career Fellow · Durham, NC

• Ran weekly 90-minute review sessions for first-year MBA students, working through practice problems and sample quizzes for Managerial Economics.
• Provided 1:1 accounting tutoring for first-year MBAs.
• Mentored 6 first-year MBAs through tech recruiting: resume reviews, mock interviews, and pipeline strategy.

AI Product Management MBA Intern · San Jose, CA

• Defined the figure-understanding strategy for Acrobat's AI Assistant through 26 user interviews, a competitive analysis, and 20+ enterprise requests, adopted into the team's roadmap after the internship.
• Partnered with ML engineers to scope a figure-type classification model, translating user needs into the model requirements the team used to begin tracking figure types in AI Assistant.
• Created the evaluation framework that benchmarked 3 multimodal LLMs across 42 questions and 13 PDFs spanning all figure types, giving the team the quality bar it used to select the production model.

Senior Technical Product Manager · Technical Product Manager · San Francisco, CA

• Led the AI/ML personalization platform delivering next-best-action recommendations to Medicare members and their health advocates, and managed a team of 15 engineers.
• Built AI/ML recommendation engines and ran structured experimentation and A/B tests across the UHC web and app, driving a 300% increase in member engagement.
• Launched a content-segmentation tool spanning 13.4M Medicare users, serving a $110B Medicare line of business.
• Founded an internal debugging tool and Databricks dashboards for C-suite reporting, cutting engineering on-call time by 40%.

Software Engineer II · Software Engineer · San Francisco, CA

• Served as backend lead Scala engineer on the targeted content team, powering 3M+ daily impressions across the UHC web and app.
• Ran user research and launched a redesign of the company's content creation tool, lifting NPS by 30%.
• Cut product launch delivery time by over 97% by building automation across the product suite.

Software Developer · Madison, WI

• Designed and built pages in AngularJS for OnPar, a teaching and testing platform used by 23 school districts.
• Managed website data in SQL Server, and implemented scripting to generate detailed per-student test reports.

Software Engineering Intern · Hyderabad, India

• Built automated test coverage for the company's software and websites using the Selenium API.

Research Worker · Madison, WI

• Worked as a data scientist on a Pokémon GO study of the game's user experience, popularity, and negative effects. Cleaned, analyzed, and visualized the data.

Master of Business Administration · Durham, NC

Strategy & Finance concentration · GPA 3.85 · Dean’s List

Bachelor of Science, Computer Science · Madison, WI

GPA 3.54 · Dean’s List