Howdy! I’m Abhi and I study Applied Mathematics at USC on Scholarship. I also debate competitively in the British Parliamentary circuit.
I’ve previously worked on spatial alignment algorithms and random matrix theory. Lately, I’ve been most drawn to how utility theory and optimization methods enable multi-agent reinforcement learning (MARL) systems to model and respond to incentives involving uncertainty and competition. I’m particularly interested in applications to market and auction design.
Feel free to check out my resume below. Everything is hyperlinked for more information.
Professional Experience
Optiver
Quantitative Trader Intern
Semi-systematic trading strategies in high-frequency options market making
2026
Iron Pillar Fund
Private Equity Intern
Venture Capital sourcing for a $500MM growth tech staged private equity fund
2025
The World Bank
Machine Learning Researcher
Spatial alignment algorithms and machine learning models for large-scale data
2024–25
RBC Capital Markets
Markets Apprentice
Capital markets analysis and financial modeling in investment banking
2024–25
Academic Research
USC Mathematics Department
Undergraduate Researcher (Adv. Zixiang Zhou)
Random matrix theory for high-dimensional noise filtration.
2025
USC Marshall School of Business
Research Assistant (Adv. Rodney Ramcharan)
Convex optimization for multi-dimensional dynamic policy systems.
2024
USC Mathematics Department
Undergraduate Researcher (Adv. Yunjie Fan)
Measure-theoretic frameworks for stochastic control in MDPs.
2024
UC Berkeley Haas School of Business
Research Assistant (Adv. Ganesh Iyer)
Behavioral Economics and Utility Theory for combating Vaccine Hesitancy
2021-22
Debate