Shaghayegh Gharghabi is a Deep Learning Scientist with 11 years of experience bridging academic research and industry-scale ML, currently working at NVIDIA after roles at LinkedIn and Twitter. Her PhD work at UC Riverside produced domain-agnostic, single-parameter algorithms for real-time semantic segmentation and robust time-series classification that handle missing data and high-throughput streams. She has applied these strengths to recommender systems and search ranking at LinkedIn and to production ML and computer vision projects for automotive and embedded systems. Based in Walnut Creek, CA, she combines theoretical rigor with practical engineering—optimizing algorithms for streaming and constrained hardware—which makes her adept at taking novel research into deployable solutions.
11 years of coding experience
11 years of employment as a software developer
Amirkabir University of Technology
Doctor of Philosophy (Ph.D.) Computer Science- (Data Mining Machine Learning), Doctor of Philosophy (Ph.D.) Computer Science- (Data Mining Machine Learning) at University of California, Riverside
Bachelor of Science (BSc) Computer Engineering, Bachelor of Science (BSc) Computer Engineering at Shahid Beheshti University
Contributions:6 commits, 1 push in 4 years 5 months
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Shaghayegh Gharghabi - Deep Learning Scientist at NVIDIA