Summary
Anikait Singh is a PhD student in Computer Science at Stanford and a research-focused software engineer with a decade of experience building and studying scalable decision-making systems, particularly reinforcement learning. Currently a Research Scientist Intern at Microsoft, he has held research roles at Toyota Research Institute, Google DeepMind, and X, the moonshot factory, blending academic rigor with industry-scale experimentation. He brings hands-on experience shipping prototypes and research code across large labs and startups, and a strong foundation from UC Berkeley. Known for tackling scalability and practical deployment challenges in RL, he pairs theoretical insight with an engineer’s drive to make impactful systems.
10 years of coding experience
1 year of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of California, Berkeley
High School/Secondary Diplomas and Certificates, High School/Secondary Diplomas and Certificates at West Windsor-Plainsboro High School South
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stanford University