Summary
Mayank Singh is a CS PhD student and Graduate Research Assistant at the University of Arizona specializing in large reasoning models and AI agents, building on a deep industrial background in ML engineering. He brings 15 years of hands-on experience across research and production roles at Meta, Instacart, and ServiceNow, where he worked on search, recommendations, shopper incentives, econometrics, and multi-agent systems (with a recent paper on arXiv). At Meta he led relevance and integrity workstreams for video search and Reels recommendations, translating research into scalable systems that improved query-result relatedness and content safety. His trajectory combines low-level systems experience (Cisco IOS/IPsec) and robotics research roots (ETH Zurich) with modern large-model research, giving him a rare blend of production-grade software engineering and academic rigor. Based in Tucson, he leverages this cross-domain expertise to push practical advances in reasoning agents that are informed by real-world product constraints.
15 years of coding experience
8 years of employment as a software developer
The University of Arizona
BITS Pilani, Birla Institute of Technology and Science
Master’s Degree, Computer Science, Master’s Degree, Computer Science at New York University
Hindi, English