Rohan Bhowmik

Researcher at Stanford Artificial Intelligence Laboratory (SAIL)

San Francisco Bay Area United States
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Summary

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Rockstar
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Top School
Rohan Bhowmik is a Stanford undergraduate studying Computer Science and Electrical Engineering with a focus on AI, currently leading Stanford Student Robotics while interning as an AI/ML software engineer at AMD where he optimized compilers and enabled LLaMa and Stable Diffusion on AMD hardware. He builds cross-architecture ML systems—from Torch-MLIR and IREE compiler work to masked and causal attention modules—and has applied these skills to impactful domain projects in health and the environment. His research-developed wildfire prediction system achieved 85% recall for major historical fires up to two weeks in advance, and his biomedical ML work spans surgical planning, respiratory exacerbation forecasting, and automated facial assessment. A multi-olympiad awardee and published researcher, he combines deep systems-level ML engineering with a passion for energy-efficient, brain-inspired computing and community service for sensory-deficient individuals.
code7 years of coding experience
job2 years of employment as a software developer
bookThe Harker School
bookB.S. Computer science and electrical engineering, B.S. Computer science and electrical engineering at Stanford University
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Github Skills (21)

spirv10
vulkan10
pytorch10
convolutional-neural-networks10
machine-learning10
onnx10
tensorflow10
cuda10
compiler10
jax10
frontend8
python8
amd7
inference7
gpu7

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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A repository for the 10th Grade Research Project Constructing a Quantum Optical Convolutional Neural Network (QOCNN) and providing scripts that evaluate future feasibility.
Contributions:17 commits, 7 pushes in 3 months
convolutional-neural-networks
Contributions:2 PRs, 187 pushes, 2 branches in 6 years 7 months
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