Rhythm Garg

Rhythm Garg is a co-founder and CTO of Applied Compute, a startup focused on developing "Specific Intelligence" through custom agents and reinforcement learning models for enterprises. He leads the technical vision for the company, which recently raised $80M in funding from prominent VCs like Benchmark and Sequoia. nitter+2

Rhythm was a core contributor to OpenAI's o1 reasoning models, which are reinforcement learning-trained. His work at OpenAI involved developing and launching these advanced AI models, showcasing his expertise in cutting-edge AI research and development. nitter+3

He is an alumnus of Stanford University, holding both a Bachelor of Science in Computer Science and Mathematics and a Master's degree in Computer Science. His academic background is complemented by his early involvement in the Texas Academy of Mathematics and Science. tamswiki+1

Rhythm has a strong background in software engineering and machine learning, gained through internships at major tech companies like Google and Facebook, and a machine learning engineering internship at Actively. He also has research experience from the Stanford Artificial Intelligence Laboratory (SAIL).