Sayash Raaj

Quantitative researcher and UC Berkeley Master of Financial Engineering student working at the intersection of mathematical optimisation, machine learning, and AI evaluation. I graduated from IIT Madras with Department Rank 2/115 and have worked in quantitative research and portfolio engineering at Fidelity Investments and BlackRock. My independent research focuses on LLMs and optimisation, with work accepted at NeurIPS 2025, ICML 2026, and NeurIPS 2026. I am particularly interested in the reliability, robustness, and evaluation of increasingly capable AI systems. I have previously received a BlueDot Impact Rapid Grant supporting my transition toward technical AI safety research.

Projects

No grants recorded.