Summary
Shyamal Patel is a PhD candidate in computer science at Columbia University focused on learning theory and sub-linear algorithms, with nine years of experience spanning research, quantitative trading, and production software. He brings practical systems skills from internships at Pindrop (back-end metrics, SQL, Go/Python) and hands-on market analysis at Jane Street, plus research on online algorithms at DIMACS. A Georgia Tech alumnus with deep interests in math, ML, and modeling, he blends theoretical rigor with implementation-first instincts. Notably, his background connects academic work on online matching and load balancing to real-world signal analysis and metrics engineering, making him adept at turning theoretical insights into measurable systems.
9 years of coding experience
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Georgia Institute of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Columbia University in the City of New York
High School, 4.52/4.52, High School, 4.52/4.52 at Devon Preparatory School
English, Spanish, Gujarati