Tarun Gogineni
Summary
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SeniorTarun Gogineni is a San Francisco–based senior software engineer and Member of Technical Staff at OpenAI, specializing in reinforcement learning and scalable AI systems. Since 2022, he has been a core contributor to GPT-4 and ChatGPT initiatives, collaborating with John Schulman and Liam Fedus on RL and model creativity. Prior to OpenAI, he was the founding scientist at Atomic AI and, at Facebook, built scalable recommender systems and high-performance live feature transforms that boosted ad revenue. He earned a BS in Computer Science and Physics (Summa Cum Laude) and a master's in CS from the University of Michigan, culminating in a first-author NeurIPS paper on conformer search with RL. With nine years of experience spanning academia and industry, he combines research depth with production-focused engineering to drive impact in AI.
10 years of coding experience
Github Skills (141)
python10
optimization10
scrape10
siggraph9
cheminformatics9
facebook-chat9
parallel9
firefox-addon9
pyspark9
gpu9
deep-learning9
generative9
double9
twint9
tweets9
Programming languages (6)
Github contributions (5)
tarungog/583_hw2
Oct 2019 - Oct 2019
Contributions:71 pushes in 1 day
tarungog/DeepRL
Oct 2019 - Oct 2020
Modularized Implementation of Deep RL Algorithms in PyTorch
Contributions:14 pushes in 1 year
pytorchdeep-learningreinforcement-learningmachine-learningmodularized
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