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Bachelor of Science in Computer Engineering

Purdue University

• Ordinary Differential Equations
• Discrete Mathematics
• Python for Data Science

Quantitative Investment Analyst Intern

Lambda Capital

• Built data pipelines to identify special situations investment opportunities, utilizing transformer-based natural language processing models and advanced statistical analysis on alternative data.

Alternative Investments Summer Intern

Wealthstone Group

• Designed client-facing real investment pitch decks and proposals for high-net-worth investors.
• Implemented Monte Carlo simulations in Python to model portfolio return distributions and stress-test risk factor assumptions, improving precision of downside risk estimates.
• Built a performance attribution framework to evaluate whether private real estate investments generated persistent risk-adjusted alpha relative to public REIT benchmarks.

Undergraduate Researcher (AMT)

Purdue University

• Building a multimodal artificial intelligence system (computer vision, FFT audio analysis) for converting guitar performance video into sheet music, advised by Dr. Yung-Hsiang Lu and Dr. Kristen Yeon-Ji Yun.

Teaching Assistant

Purdue University

• Held office hours twice a week to tutor students for ECE 20001: Electrical Engineering Fundamentals.
• Taught phasors and complex impedance, fundamental transistor operation, transformer principles, and more.

Deal Sourcing and Startup Analysis Extern

HP Ventures

Software Engineer (Contract)

G2i

Trading and Portfolio Management Whitepaper

• Published a paper on Markov models and the markets in the Quant Methods and Global Investments journal.
• Backtested various Markov model trading strategies on industrial and precious metals futures.

US Bond Yield Time Series Forecasting

• Forecasted 10-year bond yield rates to an accuracy of 0.06 basis points using machine learning algorithms.