Rahul I is an experienced engineering manager and machine learning practitioner with 12 years in software and a deep academic foundation from UT Austin and USC. He has led ML and engineering teams across Amazon, Facebook AI, and Pivotal, translating Bayesian modeling and deep learning research into large-scale production systems. Proficient in Python, C++, R and versed in algorithm design, he pairs hands-on technical depth with a track record of hiring, coaching, and scaling high-quality ML engineers. His early research on motor primitives and multiagent optimization reflects a rare blend of embodied-robotics intuition and production ML engineering. Based in California, he focuses on building robust, mathematically grounded ML solutions that move from prototype to production.
13 years of coding experience
17 years of employment as a software developer
Masters in Science, Computer Science, Masters in Science, Computer Science at University of Southern California
PhD, Computer Science, PhD, Computer Science at The University of Texas at Austin
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