Laxmikant Mokadam
Software Engineer at Google
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolLaxmikant Mokadam is a software engineer with a decade of experience currently at Google and completing an MS in Computer Science at NC State, specializing in parallel and distributed computing. He blends hands-on systems work—from optimizing supercomputer-scale DNN training as an NC State research assistant to building test and QA tooling for NVIDIA GPUs—with production engineering at Google. His background spans low-level platform features, network OS development, and performance-focused tooling, reflecting a deep understanding of both hardware and software stacks that support parallel workloads. Known for delivering ahead of schedule and for cost-effective, scalable solutions (for example a lightweight blank-screen detection system at NVIDIA), he operates at the intersection of research and production engineering. Based in the San Francisco Bay Area, he brings rigorous academic foundations and practical impact to large-scale computing problems.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, 4.06, Master of Science - MS, Computer Science, 4.06 at North Carolina State UniversityBachelor of Engineering (B.E.), Computer Science, GPA 3.81 (80.78%), Bachelor of Engineering (B.E.), Computer Science, GPA 3.81 (80.78%) at Government College of Engineering Aurangabad
English, Marathi, Hindi
Github Skills (57)
stylus10
baidu10
keras9
boost9
ray8
react8
vim8
spacemacs8
emacs8
linux8
mpi8
windows8
spark8
keras-tensorflow8
electron7
Programming languages (7)
Github contributions (5)
lkmokadam/MacroClick
Dec 2016 - Feb 2017
Contributions:11 commits, 9 pushes, 1 branch in 1 month
lkmokadam/MultiCommHorovod
Mar 2018 - Oct 2018
Distributed training framework for TensorFlow.
Contributions:27 pushes, 4 branches in 7 months
pythondistributed-trainingmachine-learningtrainingdistributed-computing
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