Anoop Korattikara
Member Of Technical Staff at OpenAI
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAnoop Korattikara is a machine learning researcher-engineer with 7 years of experience building production-grade ML systems across computer vision, reinforcement learning, Bayesian modeling, and quantitative finance. He holds a PhD in Machine Learning from UC Irvine and has driven research and engineering at Google Brain, contributed backend improvements to the widely used tensorflow/agents RL library, and applied ML to trading strategies at Arta Finance. Now at OpenAI as a Member of Technical Staff in San Francisco, he blends deep theoretical expertise with hands-on implementation of complex agents and recommender systems. Colleagues would note his uncommon combination of academic rigor and pragmatic engineering—able to modify core RL agents like DDPG while shipping scalable systems for real-world products.
7 years of coding experience
11 years of employment as a software developer
Bachelor Of Technology, Electronics and Communication Engineering, Bachelor Of Technology, Electronics and Communication Engineering at National Institute of Technology CalicutUniversity of California, Irvine
Github Skills (10)
machine-learning10
deep-learning10
tensorflow10
python10
reinforcement-learning10
ddpg10
algorithms8
data-structures8
algorithm8
data-structure8
Programming languages (1)
Github contributions (2)
tensorflow/agents
Nov 2018 - Sep 2021
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Role in this project:
Backend Developer
Backend DeveloperContributions:3 reviews, 78 commits, 2 PRs in 2 years 10 months
Contributions summary:Anoop contributed to the `tensorflow/agents` repository, focused on reinforcement learning, by modifying the `ddpg_agent.py` file. They implemented internal changes. The files modified show an understanding of DDPG agent implementation. The changes included updates to existing files with internal modifications.
scalabletf-agentsmultiagent-reinforcement-learningtensorflow-librarymulti-armed-bandits
google/gin-config
Jul 2020 - Jul 2020
Gin provides a lightweight configuration framework for Python
Contributions:1 commit in 1 day
golangpythongintensorflow-experimentsconfiguration-management
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