Summary
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.
13 years of coding experience