Agent Safety Audit
An audit tool for AI agent safety that I am specifying and building myself, end to end. Version 0.1 is in progress.
Work
From enterprise identity at AWS and an AI agent build of my own, to deep-tech commercialization and startup advisory. Case studies go deeper on three.
An audit tool for AI agent safety that I am specifying and building myself, end to end. Version 0.1 is in progress.
Senior Product Manager, Technical. I own the identity store, trusted identity propagation and auditing: how enterprises know who someone is, carry that identity across services, and prove what happened afterward.
Defined the agentic customer experience roadmap for Grocery and Same-Day: unified five disconnected feedback streams, added AI complaint synthesis with the first warehouse vs. delivery attribution, and set conversational AI as the next capture layer.
15% higher survey response rate
Commercial strategy advisor. Turned 20+ years of physics into an investor-ready strategy: pitch deck, three-phase go-to-market and financial model, with fabrication cost identified as the core moat.
70% fabrication cost advantage found
Led cross-functional teams to launch a generative AI chatbot serving 5,000+ clients, and set the vision and roadmap for a client experience portal.
5,000+ clients served
Helped grow the India office from 1 to 350+ FTE. Launched Innovation Lab, PathFinder and IdeaHub, delivering 50+ AI, ML and automation projects, and a tax platform that moved 60% of engagements to the web.
870K hours saved
Advised a femtech company with 12M+ users through a New York VC program. Primary research with athletes led to a GTM opportunity projected to reach 30% of the user base and a positioning framework adopted into the roadmap.
30% of user base, projected reach
Owned the NYU Stern segment. Found habit displacement was the core adoption barrier, redesigned events around high-stakes research, and identified citation transparency as the defensible differentiator for graduate students.
Repositioned a UK PropTech startup as an independent AI repair cost auditor for social housing, with a three-layer data flywheel as the growth thesis in its investor deck.
Published research on how AWS, Azure and Google Cloud defended enterprise lock-in through the 2022–25 AI transition, identifying five structural defensibility mechanisms.
Used FTSG foresight methods to map five macro forces and two scenarios, and recommended deferring emotionally responsive AI features until regulatory demand was proven.
Led product roadmapping for the Global Asset and Wealth Management onboarding portal, grounded in user interviews, and retired 25 legacy tools through an analytics and automation strategy.
15% more global account openings
Experience
Jul 2026 to present
Amazon Web Services
Senior Product Manager, Technical
Jan to Apr 2026
London Business School
MBA exchange · advisor to OrbiCom and Cleartrade
Aug 2024 to May 2026
NYU Stern School of Business
MBA · Research Fellow · Perplexity Campus Growth Partner
May to Aug 2025
Amazon
Senior Product Manager, Tech · Grocery & Same-Day
Jun 2021 to Jul 2024
Moss Adams
Product Innovation Manager · Innovation Lead
Feb 2020 to Jun 2021
JPMorgan Chase
Team Leader · Consultant
Jun 2018 to Feb 2020
OATI
Data Scientist
Skills