"I grew up curious about how things work, then how to make them work better."
I got curious about AI back in middle school, watching it start to reshape industries. That curiosity took me from a research lab, training machine learning models to catch heart disease early from cardiac signals, into product roles at AI-driven startups, from evaluating APIs and running growth experiments at a Peter Thiel-backed identity-verification company to now leading agentic Voice of Customer platform development at First American Financial Corporation. Now I'm continuously building, still chasing the AI product that lets me put that impact at scale.
I thrive in fast, ambiguous environments: finding the opportunity, building the solution, and iterating on what the data tells me. Outside of internships, I'm usually deep in a side project, most recently Findster.ai, teaching an app to recognize lost belongings the way a person would, and before that, co-founding Cheer, an award-winning team-management app for youth sports. Fair warning: I'm an extreme perfectionist and borderline unreasonably detail-oriented, so if a button is 2px off, I will notice, and I will fix it.
Where I've worked
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Product Operations InternFirst American Financial Corporation
Jun 2026 – Aug 2026 {{ expFirstamMark }}
Owned an agentic Voice of Customer intelligence pilot end to end, embedded in Product Operations and working across ~10 product teams spanning Endpoint and T3 Sequoia, First American's two largest product technologies. Ran 30+ stakeholder interviews with PMs, design, research, engineering, and directors to validate the problem before writing a line of code, scoped the pilot against product-org OKRs on discovery speed and evidence-backed planning, then built a Cursor-native pipeline that auto-ingests feedback from Slack, Jira, Notion, Confluence, and Snowflake, classifies it into traceable signals, and surfaces it through role-specific dashboards.
Voice of Customer Intelligence Pilot, Product Operations
OKR 1, Faster evidence
Tied to the product org's goal of compressing discovery. Baseline of 2+ days hunting across tools, target under one business day. A PM on the customer experience team cut manual feedback discovery to under an hour and closed an open bug ticket from a signal he'd forgotten about.
OKR 2, Trustworthy insights
Every record triage-ready with quote, source link, and context. Target 80%, hit 95% using 11 AI guardrail checks plus human approve/reject on grounding, traceability, over-claim, and source coverage.
6,000+ raw feedback signals across two product lines, every one traceable to source
Shipped 3 Cursor skills and 3 dashboards, leadership rollup, director cross-squad view, and PM squad-scoped lens, after walkthroughs showed one view couldn't serve all three audiences
Designed human-in-the-loop AI by default, guardrails and approval gates rather than fully automated insights
Plain-language planning queries return structured answers with counts, themes, and verbatim evidence
Presented the pilot to the company's Product Community and at the company All Hands, plus PM walkthroughs that drove the second iteration
Scoping handoff with the Databricks enterprise data management team so the pilot aligns with enterprise tooling and scales beyond the two pilot product lines
Product & Growth InternSymbal.ai
Aug 2025 – Jan 2026 {{ expSymbalMark }}
Owned GTM experimentation for this Peter Thiel–backed, $4M ARR company; ran outreach across 500+ HR/TA leaders, lifting pipeline efficiency 7%; built analytics dashboards to catch demo→signup drop-off.
Product Management InternAiPrise (YC S22)
May – Aug 2025 {{ expAipriseMark }}
Evaluated 10+ identity-verification APIs and ML SDKs; built comparison frameworks and improved mobile onboarding UI for document capture and liveness detection.
Entrepreneurial Advisor InternTech Entrepreneur Center
Feb – May 2025 {{ expTecMark }}
Advised 8+ startups on strategy and pitch for the Cozad New Venture Challenge↗; redesigned Tandem's narrative on the way to their 1st-place $50K win↗; supported kWh and Voca Health, contributing to $70K+ in total funding.
Leadership
Two organizations shaped how I work. Product Space is a national product management organization; I am part of the UIUC chapter, which admits about 5% of applicants and places student teams inside real companies, from venture-backed startups to enterprises, to run full product engagements end to end. I have served on its executive board for the past year. DECA is an international business organization where students compete on original strategy and go-to-market work judged by industry professionals.
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VP Project AcquisitionProduct Space Illinois
Jan 2026 – Present {{ expPsiVpMark }}
Sourcing cutting-edge product-focused projects for our chapter to partner with, vetting founders and scoping engagements before handing off to project teams.
Led product discovery for ThirdLayer (YC25); directed user research & feature prioritization that lifted engagement 3% for Vouch Vault; organized UIUC's first Product Hackathon, 130+ attendees, 30+ sponsors.
ThirdLayer (Dex), client engagement, PM Lead
Ran a 12-week engagement stress-testing Dex, ThirdLayer's in-browser AI assistant. Highlights from the work:
Designed this final-recommendations slide as part of the feature-prioritization work that lifted engagement 3%.
Leadership Team & Entrepreneurship Cluster LeadDECA, Mission San Jose High School
3 years
Led the entrepreneurship cluster and mentored competitors for three years, coaching students through research, strategy, and presentation until they qualified for the international conference. Competed myself in written business events, researching a real company, building a growth strategy, and defending it to industry judges, placing top ten internationally two years running.
Top Ten International Finalist, Business Growth Plan, ICDC 2024 & 2023
1st Place, Business Growth Plan, SCDC 2024 (ICDC Qualifier)
Solo-built lost & found app with AI image matching via OpenAI CLIP.
Findster.ai
React Native · Next.js 14 · TypeScript · OpenAI CLIP for image matching. Fully my own project, authored the PRD, built geolocation/auth/data schema, and evaluated the ethical tradeoffs of automated matching.
Co-founded team-management app for youth sports. Designed the reports, built it tech-wise.
Cheer
Co-Founder & CEO. Team communication, Stripe-powered payments, event scheduling & an AI chat assistant for coaches, parents, and athletes. 1st place DECA California & Silicon Valley; Top 10 internationally, DECA Internationals '23 & '24.
Also built at hackathons: Shopix, a visual product-search AI app (team project, UIUC Product Hackathon), designed an AI recommendation flow with NLP review filtering and chatbot-driven search.
Cambridge Centre for International Research · AI for Healthcare Researcher, 2023
Trained KNN, CNN, RF, and Naive Bayes models in Python to detect heart disease from echocardiograms, building an end-to-end pipeline from preprocessing through model training, evaluation, and deployment-ready outputs.