Sayantan Sarkar
AI Application Engineer
San Diego, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSayantan Sarkar is an AI Application Engineer based in San Diego with seven years of experience building and deploying deep learning systems across industry and academia. He spent nearly seven years at Intel as a Deep Learning Software Engineer after earning an MS in Electrical Engineering from the University of Maryland, where his graduate research produced multiple publications on face detection, partial-face methods, and tamper-detection using illumination cues. His background spans low-level systems and hardware-aware optimizations—from microcode and driver work at NVIDIA on video and security engines to runtime prediction models for deep networks—giving him a unique ability to bridge algorithmic research and production deployment. At d-Matrix he now focuses on applying that combined systems-and-ML expertise to real-world AI applications. An often-overlooked strength is his track record of turning sensor- and device-level constraints into robust models (e.g., mobile-tailored face detection and touch-based authentication), which helps him design practical, performant solutions.
7 years of coding experience
12 years of employment as a software developer
Master of Science - MS Electrical Engineering, Master of Science - MS Electrical Engineering at University of MarylandBachelor's Degree Instrumentation Engineering, Bachelor's Degree Instrumentation Engineering at Indian Institute of Technology, Kharagpur
English, Bengali, Hindi
Github Skills (16)
c-library10
hardware-acceleration9
machine-learning9
inference-engine9
cpp9
deep-learning9
robotics8
tvm8
tensorflow8
image-processing7
compiler7
neural-network7
computer-vision6
python6
artificial-intelligence5
Programming languages (2)
Github contributions (5)
tensorflow/ngraph-bridge
Apr 2019 - Jul 2020
TensorFlow-nGraph bridge
Contributions:22 releases, 161 commits, 272 PRs in 1 year 3 months
deep-learningbridgetensorflowngraph
sachinmuradi/ngraph-bridge
May 2019 - May 2019
TensorFlow-nGraph bridge
Contributions:1 push in 1 day
deep-learningbridgechainertensorflowngraph
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