Pulkit Sharma
Software Engineer at Google
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolPulkit Sharma is a software engineer with nine years of experience building ML-driven computer vision and sensor fusion solutions across Google, Qualcomm, Samsung, and Microsoft. He combines strong Python and C skills with hands-on experience deploying low-latency algorithms on embedded chipsets and real-time AR/Unity clients, most recently contributing to Google Assistant for Cars. His background includes research-grade work on model explanations and performance analysis, efficient on-device CNN processing for neural processors, and applied deep learning for visual product search and phone-position detection. Based in Sunnyvale, he blends research rigor (MS in Computer Science, 4.0) with practical production engineering, often optimizing memory and latency trade-offs that are critical but easy to overlook.
9 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at University of Massachusetts Amherst
Github Skills (9)
machine-learning4
deep-learning4
faster-rcnn3
causal2
adaptation2
mechanism2
generalization2
pytorch1
information-theory1
Programming languages (2)
Github contributions (5)
sharmapulkit/roNNie-pool
Oct 2017 - May 2019
Contributions:8 commits, 6 pushes, 2 branches in 1 year 7 months
sharmapulkit/TreeInterpretability_AnomalyExplanation
Jun 2020 - Jun 2020
Tree Based models for Interpreting Anomalies
Contributions:2 PRs, 10 pushes in 2 days
tree-basedmachine-learning
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