Sana Damani
Research Scientist at NVIDIA
California, United States
Summary
👤
Senior🎓
Top SchoolSana Damani is a research scientist and compiler engineer with nine years of industry and academic experience focused on the intersection of compilers and GPU architecture. Currently at NVIDIA after earning a PhD from Georgia Tech, she has combined hands-on system software roles and multiple NVIDIA internships with graduate research and teaching in parallelizing compilers and GPU architecture. Her work spans production-facing system software and cutting-edge research, positioning her to translate novel compiler techniques into high-performance hardware-aware implementations. Based in California, she brings deep domain expertise in GPU/accelerator ecosystems and a track record of moving between research prototypes and deployable engineering. An uncommon strength is her continuity across the full lifecycle—from undergraduate internships through senior engineering and doctoral research—giving her a rare blend of practical product experience and rigorous academic insight.
9 years of coding experience
9 years of employment as a software developer
Computer Science, Computer Science at Georgia Institute of TechnologySavitribai Phule Pune University
English, Hindi
Github Skills (16)
neural-network10
machine-learning10
deep-learning10
tensorflow10
deep-neural-networks10
python10
data-science10
ml10
intermediate9
hpc-applications5
infrastructure5
simulation5
compiler4
graphical-user-interface4
subproject1
Programming languages (3)
Github contributions (5)
sana-damani/sana-damani.github.io
Aug 2020 - Sep 2023
Contributions:2 pushes, 1 branch, 1 comment in 3 years 1 month
sana-damani/tensorflow
Feb 2019 - Jun 2019
An Open Source Machine Learning Framework for Everyone
Contributions:39 pushes, 5 branches, 2 comments in 3 months
pythondata-sciencedeep-learningmlmachine-learning
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