Quantitative Engineer & ML Specialist
Building intelligent systems at the intersection of machine learning, quantitative finance, and software engineering.
About Me
I'm pursuing my M.S. in Computer Engineering at NYU Tandon, with a B.S. in Computer Science from Indiana University where I specialized in Machine Learning and AI.
As former CTO of Mutually, I built an AI-powered social platform that grew to 200+ monthly active users. My work spans from nuclear fusion simulations to real-time financial forecasting systems.
I thrive at hackathons, winning 1st place at Radiothon 2026 and 3rd at HackPrinceton 2025 building quantitative trading systems.
Projects
A prediction market backtesting platform with real-time orderbook depth analysis for high-fidelity simulation. Implemented a strategy execution engine enabling users to test algorithms against historical market conditions.
An autonomous multi-agent trading system that executed real-time trades on prediction markets. Combined quantitative modeling and sentiment-driven signals to optimize returns in volatile environments.
AI-powered event discovery social media platform. Built MutualMatch, a matching engine combining weighted Jaccard similarity and collaborative filtering that increased match acceptance by 48%.
Interests
Kalshi Balance
$2.5k
Always up for a game
NYC dining map coming soon
Skills
Education
Tandon School of Engineering
M.S. in Computer Engineering
Luddy School of Informatics
B.S. in Computer Science
Get In Touch
I'm always interested in discussing new opportunities, research collaborations, or innovative projects in quantitative finance and machine learning.