Summary
Ayush Sawarni is a graduate student and research-focused engineer based in Palo Alto with a decade of experience spanning finance, industry internships, and academic research. He combines rigorous training from IISc and BITS Pilani with applied research roles at Stanford and Microsoft, specializing in causal inference, reinforcement learning, online learning, and bandits. His background includes analytic experience at Goldman Sachs and hands-on research internships at IISc and Samsung, giving him a practical appreciation for production constraints and empirical evaluation. Ayush moves fluidly between theory and implementation, producing research that targets real-world decision-making systems rather than purely theoretical results. He is currently pursuing research at Stanford while contributing to Microsoft research projects, positioning him at the intersection of cutting-edge ML research and deployable learning algorithms. A detail that sets him apart is his sustained trajectory from electrical engineering foundations to high-impact ML research, reflecting both broad technical versatility and deep methodological focus.
10 years of coding experience
2 years of employment as a software developer
Master's (Research), Computer Science, 9.5, Master's (Research), Computer Science, 9.5 at Indian Institute of Science (IISc)
BITS Pilani, Birla Institute of Technology and Science
Class XII, Science, Class XII, Science at Delhi Public School, Ranchi
English, Hindi