I'm a computer science and mathematics student at Northeastern University, and more than anything I like building things. These days I'm most interested in agentic systems, systems engineering, and applied machine learning. So far that's meant a billing system that handles millions of trades a day, risk and investment tooling at a hedge fund, racing agents trained with reinforcement learning, and products ranging from an AI finance chatbot to an iOS app with paying users. Now I want to take what I know about AI and apply it to problems with even larger impact.
Away from the keyboard, I'm usually outside. I ski (I'm National Ski Patrol certified), scuba dive (PADI certified), and hike whenever I get the chance. You'll also find me DJing, driving manual, or at a poker table.
Summer Analyst, Investment
Software Engineer, Risk & Compliance
Architected an in-house Python/SQL billing system processing 3M+ daily trades (~5% of national volume), saving $1M+ annually by replacing an outsourced vendor.
Reduced monthly billing from 3+ days of manual processing to fully automated execution. Reverse-engineered complex undocumented fee logic across market maker, broker-dealer, and customer accounts.
Summer Analyst, Risk
Engineered a gRPC interface using AWS Lambda/S3 for automated hedge trade staging, cutting decision-to-trade time by over 90%.
Built a Python pipeline unifying diverse risk datasets into concise daily reports headlined by enterprise LLM models.
Summer Analyst, Risk
Developed automated systems leveraging proprietary quantitative pricing models to generate and visualize real-time risk metrics for flagged portfolios.
Created infrastructure using data orchestration platforms to automate publishing of statistical analyses to centralized dashboards firm-wide.
Chief AI Officer & Chief Product Officer
Built and launched alpha/beta of an AI finance chatbot in 3 months, integrating live market data and SEC-approved APIs. Led two cross-functional dev teams across the U.S. and internationally.
Drove $20M valuation by leading breakthrough AI demo at Finify Investors' Conference, presenting technical architecture and novel LLM applications when generative AI was still emerging.
iOS AI Technical Interview Prep
The first mobile-optimized app for quantitative finance interview prep, built with pair-AI development. 17 mental logic games, 150+ mini finance lessons, 150+ brainteasers, and an AI mock interview system with 500+ real questions and real-time feedback. 600+ downloads and paying customers.
Download on iOSGenerated 105% total return (12% CAGR, Sharpe 1.6) via out-of-sample Python walk-forward backtest on S&P 500 (2019–2025) using cointegration, MST clustering, rolling z-score entry/exit, and transaction-cost simulations.
Principles of AI · Received an A
Multi-agent reinforcement learning system that trains diverse F1-style racing agents via self-play and reward shaping. Built PPO from scratch in PyTorch with a checkpoint curriculum, producing four distinct archetypes (Balanced, Speedster, Blocker, Drifter) that converge to equal Elo ratings in round-robin evaluation.
Read PaperObject-Oriented Design
A full-stack two-player strategy board game built in Java with MVC architecture, Swing GUI, and four pluggable AI strategies (FillFirst, MaxRowScore, ControlBoard, MiniMax). Features configurable decks, variant influence systems, and a dual-controller setup supporting human-vs-AI and AI-vs-AI play.
View on GitHubBuilt a Python system leveraging GPT and Whisper APIs to transcribe and analyze call center interactions. Accelerated classification by 60x while reducing costs by 40x with human-comparable accuracy.
Founded and scaled an eCommerce store from $40 to 10,000%+ ROI within the first year. Drove 50,000 site sessions and 2.5M social media views through content marketing and brand strategy.
Khoury College of Computer Sciences | Boston, MA
B.S. Computer Science & Mathematics, AI Concentration
Principles of AI · Algorithms · Object-Oriented Design · Theory of Computation · Logic & Computation · Discrete Structures · Systems Programming · Foundations of Cybersecurity · Intro to Data Science · Program Design
Probability & Statistics · Number Theory · Group Theory · Linear Algebra · Differential Equations & Linear Algebra · Mathematical Reasoning · Calculus I–IV
Vice-President @ Delta Kappa Epsilon · Quantitative Researcher @ Systematic Alpha · Treasurer @ Systematic Alpha · FinHacks Hackathon · Game Theory Club · Electric Racing Club
Englewood, New Jersey
Currently available for Spring 2027 and Summer 2027 opportunities.