Curriculum Vitae

Columbia University

Doctor of Philosophy

Concentration: Operations Research

Specialization: Machine Learning & Statistics

GPA: 4.11/4.00

Princeton University

Bachelor of Science in Engineering

Concentration: Computer Science

Certificates: Applied & Computational Mathematics, Statistics & Machine Learning, Optimization & Quantitative Decision Science

GPA: 3.93/4.00

Major GPA: 4.00/4.00

Algorithm Developer Intern

Hudson River Trading

• AI Research

Quantitative Research Intern

Headlands Technologies

• Deep Learning Alpha Research

Research Intern

Snap Inc: User Modelling and Personalization

• Developed compressive memory techniques and efficient approximations for full attention matrices, enabling the handling of sequences up to length 5000 for behaviorally learned user embeddings
• Trained encoder models with custom attention modules using PyTorch DDP and Dask for scalability and designed embedding evaluation techniques

Quantitative Research Intern

Goldman Sachs: Quantitative Investment Strategies

• Analyzed 15TB proprietary dataset efficiently using Dask and distributed computation across multiple computing clusters
• Developed prediction models using machine learning and statistical analysis, conducted backtesting for portfolio optimization

Provost Diversity Fellow

Columbia University Office of the Provost

Summa Cum Laude (Highest Honors)

Princeton Computer Science Department

Outstanding Student Teaching Award

Princeton Computer Science Department

Tau Beta Pi

Princeton School of Engineering and Sciences

USAMO Qualifer

Mathematical Association of America

33rd National Rank @ The Mandelbrot Competition

The Mandelbrot Competition