Lakshay G
Software Engineer, Deep Learning Frameworks (PyTorch) at ISO - International Organization for Standardization
San Francisco Bay Area United States
Summary
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Rockstar🎓
Top SchoolLakshay G is a software engineer with 11 years of experience focused on deep learning frameworks, compilers, programming languages and robotics, currently working on PyTorch at NVIDIA in the San Francisco Bay Area. He has a strong C++ and CUDA background from building motion planning, routing and real-time vehicle software at Zoox and prior roles optimizing large-scale serving systems. His open-source contributions include extending mathematical and activation functions in Microsoft’s CNTK, reflecting an attention to numerical correctness and Python bindings that bridge research and production. As an ISO WG21 committee member he shapes C++ standards, bringing practical vehicle- and ML-system insights to language design. Known for profiling and optimizing complex code paths, he combines low-level performance work with higher-level algorithm design for autonomous systems.
11 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology Kanpur
Hindi, English
Stackoverflow
2,113reputation
217kreached
76answers
15questions
Github Skills (14)
machine-learning10
c-language10
cntk10
deep-learning10
cprogramming-language10
python10
cplus9
neural-network9
cpp9
csharp8
algorithm6
cmake6
tensorflow6
numpy6
Programming languages (17)
Github contributions (5)
microsoft/CNTK
Jul 2017 - Oct 2017
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Role in this project:
ML Engineer
ML EngineerContributions:7 commits, 6 PRs, 7 comments in 3 months
Contributions summary:Lakshay primarily focused on implementing and extending mathematical functions within the Microsoft Cognitive Toolkit (CNTK) library. Their contributions included adding and modifying element-wise operations, specifically hyperbolic and inverse hyperbolic functions, and implementing activation functions like SELU. The user also made updates to test files, indicating a focus on ensuring the correctness and functionality of the implemented features within the deep learning framework. Furthermore, there were updates to the Python bindings related to the new functions.
pytorchpythondeep-learningc-plus-plusmachine-learning
lakshayg/tensorflow-build-archived
May 2017 - Feb 2020
TensorFlow binaries supporting AVX, FMA, SSE
Contributions:20 releases, 118 commits, 14 PRs in 2 years 9 months
avxservingssebinariesfma
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