Arnab Sarker
Senior Member Of Technical Staff at Salesforce
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolArnab Sarker is a Senior Member of Technical Staff and machine learning researcher specializing in the intersection of network science and deep learning, with a decade of experience applying AI to supply chain problems. He holds a PhD from MIT in Social & Engineering Systems and Statistics and has published in PNAS, IEEE Transactions, and other interdisciplinary venues, demonstrating a rare blend of rigorous theory and applied impact. Prior training at UPenn in NETS and Data Science sharpened his focus on algorithmic fairness and the statistical behavior of ML systems, while industry roles at Apple, Audible, and Regrello gave him production-oriented chops. Based in San Diego, Arnab combines quantitative depth with practical engineering to move complex networked models from research to real-world supply chain deployments. An often overlooked strength is his background in teaching core probability and algorithms, which fuels clear problem framing and reproducible, interpretable solutions.
10 years of coding experience
1 year of employment as a software developer
East Longmeadow High SchoolDoctor of Philosophy (PhD) Social and Engineering Systems and Statistics, Doctor of Philosophy (PhD) Social and Engineering Systems and Statistics at Massachusetts Institute of TechnologyMaster of Science in Engineering (M.S.E.) Data Science, Master of Science in Engineering (M.S.E.) Data Science at University of Pennsylvania
English
Github Skills (11)
forecasts10
visualization10
standardized10
bootstrapping10
data-access10
analytics10
github-pages9
atmospheric-modelling9
classifiers8
machine-learning4
auditing3
Programming languages (1)
Github contributions (5)
arnabsarker/covid19-forecast-hub
Jan 2021 - Mar 2023
Projections of COVID-19, in standardized format
Contributions:100 pushes in 2 years 1 month
projectionsstandardized
arnabsarker/Property-Elicitation
Sep 2018 - Jan 2019
Contributions:38 pushes, 1 branch in 4 months
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