Chandramouli Rajagopalan is a research engineer with nine years of hands-on experience building machine learning and web systems, currently working at Astera Institute after recent roles in ML and deep learning across startups and academia. He combines a strong research background (Master’s in Intelligent Systems from UC San Diego) with practical engineering—shipping a Python-based voice assistant, a Makefile-generating parser, and a 2048-solving algorithm—while contributing to open-source projects including Google Summer of Code and TensorFlow. His work spans computer vision, CI automation, SDK packaging, and front-end/database optimizations, reflecting an ability to move ideas from research prototypes to production-ready tooling. Based in San Diego, he brings a curiosity-driven, self-taught approach to new tech and a track record of improving developer workflows and automation behind the scenes.
10 years of coding experience
5 years of employment as a software developer
University of California, San Diego
B.Tech, EEE, B.Tech, EEE at National Institute of Technology Warangal
Simplistic Pytorch Implementation of the Dreamer-RL
Contributions:38 commits, 25 pushes in 11 months
pytorchdreamerpytorch-lightning
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