Hokchhay Tann
Principal AI Architect at Microsoft
Greater Boston United States
Summary
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Senior🎓
Top SchoolHokchhay Tann is a Principal AI Architect with a decade of experience building scalable ML training and inference systems, currently leading AI architecture at Microsoft after a recent staff engineering role at Tenstorrent. He holds a Ph.D. in Computer Engineering from Brown and has bridged research and product across Arm and NVIDIA, contributing to model design, quantization, pruning, and reduced-precision training for future hardware. Based in Greater Boston, he combines deep learning expertise with computer architecture insight to optimize performance across training and inference stacks. Known for rigorously validating solutions on diverse tasks and frameworks (TensorFlow, PyTorch, Caffe), he also has a track record of squeezing real-time performance from constrained systems. His Google Scholar presence suggests active research contributions that inform his engineering leadership, and a background in engineering mathematics gives him a strong analytical edge.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Engineering, Doctor of Philosophy (Ph.D.) Computer Engineering at Brown UniversityBachelor of Science (B.Sc.) Engineering Mathematics, Bachelor of Science (B.Sc.) Engineering Mathematics at Trinity College-Hartford
Github Skills (28)
convolutional-neural-networks10
darknet8
pytorch7
onnx7
hardware-acceleration7
machine-learning7
tensorflow7
scikit-learn7
keras7
deep-learning7
high-performance6
neural-network6
cubic6
self-organizing-map5
sampling5
Programming languages (2)
Github contributions (5)
scale-lab/FCNiris
Sep 2019 - Jun 2020
Contributions:3 commits, 3 pushes, 1 branch in 9 months
htann404/darknet
Feb 2019 - Mar 2019
Convolutional Neural Networks
Contributions:16 PRs, 20 pushes, 1 branch in 1 month
caffe2deep-learningconvolutionalneural-networkscaffe
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