Ritwik Das
Software Engineer at Waymo
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRitwik Das is a software engineer based in Mountain View with nine years of experience building ML-driven systems for autonomous vehicles and cloud platforms. He has contributed to Waymo’s engineering efforts after roles at AWS, Lyft, and NVIDIA, where he worked on imitation learning and large-scale RL tooling. His open-source work on the Apache TVM compiler helped enable BYOC workflows by adding control-flow support and robust handling of free variables—improving compilation of if-else and while-let constructs. Comfortable across research and production, he has a strong robotics and CV background from Carnegie Mellon and hands-on experience shipping real-time vision systems and distributed services. Colleagues would note his mix of low-level compiler familiarity and applied ML expertise that bridges research prototypes to production deployments.
9 years of coding experience
4 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMaster of Science - MS, Robotic Systems Development, Master of Science - MS, Robotic Systems Development at Carnegie Mellon University
English, Hindi, Marathi, Bengali
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
compiler10
machine-learning10
deeplearning-ai10
compiler-compiler10
deep-learning10
python9
cprogramming-language9
c-language9
tensor8
Programming languages (6)
Github contributions (5)
apache/tvm
Oct 2020 - Mar 2021
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Role in this project:
ML Engineer
ML EngineerContributions:118 reviews, 16 commits, 39 PRs in 4 months
Contributions summary:Ritwik primarily contributed to the `TVM` compiler stack by implementing and testing features related to control flow and annotation targets. They focused on enabling the `BYOC` (Bring Your Own Compiler) workflow, specifically adding support for control flow within the annotation target. This included adding new test cases for `if-else` and `while-let` nodes to ensure correct compilation and transformation. Further contributions included fixing bugs within the annotation target and updating the code to support free variables of any size, enhancing the robustness of the compiler.
metalvulkancompilertensoropencl
codeislife99/incubator-tvm
Nov 2020 - Jan 2022
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Contributions:298 pushes, 31 branches in 1 year 2 months
cpugpu-programminggpu-accelerationtvmdeep-learning
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