
Master of Science in Quantitative and Computational Finance
Georgia Institute of Technology, Scheller College of Business
I'm an MS candidate in Quantitative and Computational Finance at Georgia Tech, blending a strong foundation in computer science with a passion for systematic markets.
My focus lies at the intersection of quantitative finance and backend systems. I specialize in engineering high-performance APIs and building scalable data pipelines, with a strong interest in algorithmic trading strategies.
I'm actively seeking opportunities in quantitative development and backend software engineering where I can build fast, resilient infrastructure and tackle challenging, data-intensive problems.

Georgia Institute of Technology, Scheller College of Business

University of Georgia, School of Computing
NCR Voyix
HeyBrain
Led development of a financial platform for budgeting, investing, and credit services.
Developed a machine learning model for stock investment forecasts using financial news sentiment.
TypeScript library for building GroupMe bots with a clean, extensible API.
Open to opportunities in quantitative development and software engineering.