Ramya Iyer is currently pursuing a Master's degree in Computer Science at Stanford University, building on a Bachelor's degree in Mathematics from the same institution. Ramya gained experience as a Software Engineer Intern at Meta, contributing to distributed LLM training systems, and previously interned at Square, where a fault-tolerant refund system was engineered. The role as a Research Assistant at Stanford involved developing robust optimization and adaptive trading models, complemented by a position as a Teaching Assistant and Math Grader for advanced courses. As a Quantitative Trading Intern at PEAK6, Ramya focused on researching and backtesting short-dated options strategies.
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