About Me
I'm a product-focused engineer and MBA candidate at Cornell Tech, graduating in May 2026, with 5+ years of experience building and scaling identity, authentication, and checkout systems at PayPal, impacting 400M+ users across a portfolio of initiatives spanning fraud prevention, passkey adoption, checkout optimization, and developer tooling.
My work has always lived at the intersection of technical execution and customer impact. At PayPal, I led cross-functional teams, ran A/B experiments, and owned delivery across the full product lifecycle, always anchored to one question: what does this mean for the customer trying to log in, check out, or trust us with their money? That lens shaped everything from how I diagnosed fraud attack vectors to how I measured login performance gaps that were masking real user pain, and ultimately how I built user experiences that were faster, safer, and more accessible.
At Cornell Tech, I've been building AI products. As a consultant with Google's CISO Office, I'm building a multi-agent RAG-powered compliance automation platform for GCP that replaces manual NIST control mapping and screenshot-based audit evidence with an agentic LLM pipeline. As VP of the AI Product Management Club, I launched an interview prep cohort connecting students with industry practitioners and alumni. On the side, I've been shipping personal AI projects: an AI chief of staff that reads my emails, classifies every signal, and runs my job search pipeline on autopilot, surfacing only what deserves a decision; a real-time sports analytics prototype called BatSignal built with Kafka and Llama on Cerebras; an AI-powered parking management concept exploring how agents can optimize urban space in real time; and this portfolio itself, which answers questions about me using RAG.
I'm driven by the craft of AI product management: defining the right problem, making opinionated bets on where AI genuinely adds value, and building systems that users can trust enough to rely on every day.