Arvind Sridhar - Student at UC Berkeley

Arvind Sridhar

Student at UC Berkeley

Sunnyvale, California, United States

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Summary

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Arvind Sridhar is an accomplished ML-focused software engineer and researcher with over a decade of experience building and optimizing production-grade AI systems and perception pipelines for autonomous vehicles and large-scale models. He has transitioned fluidly between industry and academia—contributing to Google, NVIDIA, Waymo, Argo AI and Stanford—where his work spanned multimodal foundation model tuning, efficient Transformer and Graphormer architectures, and certified robustness for vision models. Arvind combines deep systems know-how (notably contributions to the pytorch/tensorrt compiler to accelerate PyTorch→TensorRT deployments) with hands-on product and internship experience at Uber ATG, Nuro, and Citadel. He’s taught top-tier ML and graph/LLM courses, published first-author research at ICLR/ICML workshops, and has a track record of shipping low-latency inference solutions for real-time applications. Based in Sunnyvale, he blends rigorous research instincts with pragmatic engineering to move models from lab to edge.

11 years of coding experience

9 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

High School, High School at Bellarmine College Preparatory

Bachelor of Science (BS), Economics, Finance, and Business Administration, Bachelor of Science (BS), Economics, Finance, and Business Administration at University of California, Berkeley, Haas School of Business

Master of Science (MS), Computer Science and Artificial Intelligence, Master of Science (MS), Computer Science and Artificial Intelligence at Stanford University

English, Spanish

Stackoverflow

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Github Skills (9)

tensorrt10

cuda10

pytorch10

machine-learning10

deep-learning10

cprogramming-language9

c-language9

nvidia8

testing8

Programming languages (4)

C++CJupyter NotebookPython

Github contributions (5)

pytorch/TensorRT

Jun 2021 - Sep 2021

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

Role in this project:

ML Engineer

Contributions:1 review, 15 commits, 3 PRs in 2 months

Contributions summary:Arvind primarily contributes to the `pytorch/tensorrt` repository by implementing and testing functionality related to converting PyTorch models to TensorRT for NVIDIA GPUs. The commits focus on bug fixes and adding tests for specific operators, such as `gru_cell` and `lstm_cell`, ensuring correct conversion and functionality within the TensorRT framework. Code changes include modifications to the converter implementations and the addition of test cases to validate the converted models.

compilernvidiapytorchtensorrttorchscript

callaunchpad/objectTracking

Mar 2018 - Aug 2018

Contributions:19 pushes in 5 months

springarchitecturehank

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