Saugat Kandel

Software Engineer II at Chan Zuckerberg Biohub Network

Redwood City, California, United States
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Summary

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Senior
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Saugat Kandel is a Software Engineer II based in Redwood City with a PhD in Applied Physics and over a decade of scientific and optimization engineering experience applied to imaging and autonomous experimentation. He builds and deploys real- and complex-valued convolutional networks for high-speed coherent imaging (demonstrated at up to 20 kHz for 512x512 frames) and crafts multi-objective Bayesian optimization methods to tune adaptive optics with remarkable data efficiency. His work at Argonne and Chan Zuckerberg Biohub bridges algorithm research and production systems for cryo-EM and synchrotron imaging, reducing experimental sampling needs by ~70%. Comfortable across Python, C++, and edge deployments, he combines deep domain expertise in inverse problems with practical engineering for real-time scientific instruments.
code8 years of coding experience
job7 years of employment as a software developer
bookBachelor of Arts (B.A.) Physics, Bachelor of Arts (B.A.) Physics at Amherst College
bookDoctor of Philosophy (Ph.D.) Applied Physics, Doctor of Philosophy (Ph.D.) Applied Physics at Northwestern University
bookLinguistics, Linguistics at University of Massachusetts Amherst
languagesEnglish, Nepali, Hindi
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Github Skills (47)

python10
data-science10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
aps9
autoencoder9
computer-graphics8
rendering8
parallel7
visualization7
cudnn7

Programming languages (5)

C++RustJupyter NotebookRubyPython

Github contributions (5)

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ML Control System for the Beamline 34-ID-C @ APS
Contributions:4 PRs, 91 pushes, 1 branch in 1 year 11 months
control-systemmachine-learningapsbeamline
saugatkandel/ptychoSampling

Jul 2019 - Aug 2021

Code for ptychography with tensorflow
Contributions:30 commits, 2 PRs, 36 pushes in 2 years 1 month
autoencoderpythoncudnntensorflowptychography
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Saugat Kandel - Software Engineer II at Chan Zuckerberg Biohub Network