Rajkumar Ramamurthy
Unix System Administrator
Chennai, Tamil Nadu, India
Summary
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RockstarRajkumar Ramamurthy is a Unix System Administrator based in Chennai with a decade of experience managing and hardening production systems. Alongside operational duties at Rite Software, he contributes to machine learning research projects on GitHub, notably implementing reinforcement learning features and maskable actor-critic policies for language-model fine-tuning in the RL4LMs library. This blend of sysadmin rigor and hands-on ML engineering gives him a pragmatic view of deploying experimental models into stable infrastructure. He is comfortable refactoring complex code and configuration, and has contributed metric and dialogue-model work that bridges research and production needs. His profile reflects a rare combination of reliable systems operations expertise and active involvement in cutting-edge ML tooling.
10 years of coding experience
Github Skills (9)
python10
natural-language-processing10
reinforcement-learning10
pytorch9
machine-translation8
data-structure7
data-structures7
algorithm7
algorithms7
Programming languages (4)
Github contributions (5)
allenai/RL4LMs
Oct 2022 - Jan 2023
A modular RL library to fine-tune language models to human preferences
Role in this project:
ML Engineer
ML EngineerContributions:1 review, 60 commits, 6 PRs in 3 months
Contributions summary:Rajkumar contributed to the rl4lms repository by implementing new features and refactoring existing code related to reinforcement learning for language models. Their work includes adding and modifying code for algorithm implementations, particularly in the context of maskable actor-critic policies. Furthermore, the user was involved in cleaning up and restructuring configuration files within the project. The changes also suggest involvement in metric implementation for dialogue models.
nlppytorchdialogue-generationmachine-translationreinforcement-learning
rajcscw/minimalistic-ml
Mar 2017 - Oct 2017
Contributions:13 commits, 39 pushes, 1 branch in 6 months
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