[STARTUPS. VC. STRATEGY.]
Building at the intersection of startups, venture capital, and strategy. Student at Cornell Dyson exploring tech, investing, and innovation.

I'm a technologist and entrepreneur studying Applied Economics and Management at Cornell University.
Fascinated by building data-driven systems that live at the intersection of finance, code, and public policy.
My work spans startups, research, and AI agents — always focused on creating tools that help people think better.
[EXPERTISE]
Lovable × Cornell Hackathon — Oct 2025
Turns a single topic or question into an interactive map of concepts, articles, tools, and startup sparks. Streams a living graph with summaries, tags, confidence, and cited excerpts; explains connections with evidence. Build mode generates startup ideas, a prioritized Next 5 action plan, and first‑week prototype tasks exportable to JSON, Markdown, PNG, or Notion/Trello—savable to My Maps. Motto: “See the idea. Build the future.”
Graph • Evidence • Build Mode • Exports
Oct 2025
Built a full-stack AI productivity web application using React, Node.js, and OpenAI API to help users manage tasks and enhance productivity through intelligent recommendations.
37% productivity increase
Interactive Options Pricing & Volatility Explorer
Professional‑grade Black‑Scholes calculator with Greeks analysis, implied volatility solver, and 3D volatility surface visualization.
Black‑Scholes · Greeks · IV · 3D Surface
Sep 2023 – Present
Managed tournaments for 900+ competitors across 30+ schools; judged prelim to finals; optimized ops via Speechwire & Tabroom.
Rounds Judged: 200+
Apr 2024 – Present
Co-founded state nonprofit lowering extracurricular cost barriers; secured EIN and school district & business support statewide.
Volunteers: 100+
Sep 2025 – Present
Failures - trying the unconventional with a high chance of it not working. Worked on startups with a combined valuation of 100M+, developing web apps, winning hackathons, and learning VC principles
P&L: +67%
Sep 2025 – Present
Developed physics engines, 3D visualization models, web apps; applied JS, Unity, ML, CLIMADA; hosted founder speaker sessions.
Prototypes: 6
Aug 2024 – Mar 2025
Built a GBM trading and asset price model using Monte Carlo simulations and other economic indicators to trade stocks.
Return: +27%, Prediction: <2% error
PROJECTS
SKILLS
HOURS
14ERS