Edwin Mascarenhas
Deep Learning Architect at NVIDIA
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolEdwin Mascarenhas is a Deep Learning Architect with 12 years of experience designing and optimizing high-performance computing systems for GPUs and DNN workloads. Based in San Jose, he combines hands-on architecture work at NVIDIA with academic research on compilers and runtimes for DNN accelerators from his MS at UC San Diego. His background spans pre- and post-silicon performance benchmarking, GEMM kernel and memory-bandwidth optimizations, and tooling for Ampere-class GPUs, plus earlier work modeling tiled rendering for mobile GPUs at Samsung. He’s equally comfortable digging into RTL and simulator traces as building CUDA micro-benchmarks, and he’s repeatedly focused on shrinking latency and boosting throughput across heterogeneous stacks. Notably, his trajectory blends industrial silicon bring-up experience with academic compiler research, giving him rare end-to-end insight into software-hardware co-optimization.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at UC San Diego Jacobs School of EngineeringBachelor of Engineering - BE, Electrical and Electronics, Computer Science, Bachelor of Engineering - BE, Electrical and Electronics, Computer Science at Birla Institute of Technology and Science, Pilani - Goa Campus
French, Konkani, Gujarati, Hindi, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
sparse5
use-http4
net-library4
python4
prototyping4
arduino4
graph3
editing3
neural-network2
chromium2
programming-language2
django2
accelerator2
chrome1
Programming languages (3)
Github contributions (5)
lite-david/comet
Dec 2017 - Nov 2019
Contributions:9 commits, 8 pushes, 1 branch in 1 year 11 months
lite-david/PyDuino
Jul 2015 - Nov 2017
Contributions:21 commits, 6 PRs, 18 pushes in 2 years 3 months
python-librarypython-programmingpythonprototypingarduino
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