Aditya Modi is a Senior Research Scientist with 12 years of experience translating principled ML research into production systems for advertising and recommender platforms. He holds a PhD from the University of Michigan where he developed provably efficient reinforcement learning and active learning methods, and since graduation has applied those methods at Microsoft AI to drive whole-page optimization, ad creative generation, and multi-objective marketplace decisions. He specializes in combining RL and contextual bandits with large language and multimodal foundation models to build scalable, data-driven decision systems that impact product metrics. Now at Meta, he continues to bridge fundamental interactive-ML research with deployment challenges in high-throughput ad and recommender pipelines. Beyond product work, he pursues open-ended theoretical questions around exploration and statistical efficiency, and often seeks collaborations that push RL+LLM integration into new domains. Based in Sunnyvale, he brings both rigorous academic grounding and hands-on applied research experience to complex, real-world ML problems.
12 years of coding experience
9 years of employment as a software developer
Indian Institute of Technology Kanpur
Doctor of Philosophy (PhD) Artificial Intelligence, Doctor of Philosophy (PhD) Artificial Intelligence at University of Michigan College of Engineering
Matriculation, Matriculation at Holy Hearts Educational Academy, Raipur (C.G.)
AISSE (CBSE), AISSE (CBSE) at Aklank Public School, Kota (Raj.)
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