Viraat Chandra is a Senior Deep Learning Engineer at NVIDIA with a decade of experience building high-performance ML systems spanning reinforcement learning, computer vision, and ML engineering. He combines research experience from Berkeley and Stanford with production-grade HPC and inference optimization work—developing Slurm integrations, REST APIs for cluster portals, and an auto-tuner that boosted MLPERF-Inference throughput. Equally comfortable in Python and C++, he has shipped edge-facing pipelines (vehicle interior face recognition) and contributed interactive bots and API validation to the popular zulip/python-zulip-api project. Based in Berkeley, he focuses on applied RL, self-driving tech, biotech and finance applications, and brings a knack for turning noisy, high-dimensional tuning problems into practical performance wins.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Electrical Engineering and Computer Science, Bachelor of Science - BS, Electrical Engineering and Computer Science at University of California, Berkeley
Contributions:26 commits, 20 PRs, 50 comments in 1 month
Contributions summary:Viraat contributed to the development of interactive bots within the Zulip ecosystem. They created bots for Mention and Baremetrics, integrating with external APIs for functionality. The user implemented features like API key validation and added tests to ensure bot reliability. Furthermore, the user worked on the Link Shortener and Weather bots by ensuring the validation of API keys upon initialization.
Script for checking account/project usage on Savio using the myBRC API
Contributions:4 PRs, 55 pushes, 1 branch in 11 months
apiaccountchecking-accountchecking
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