Bin Wang

Principal Software Engineer Manager at Microsoft

Beijing, China
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Summary

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Rockstar
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Top School
Bin Wang is a Principal Software Engineering Manager at Microsoft with over a decade of experience designing and delivering large-scale software across Office and related ecosystems. He progressed through engineering and leadership roles at Microsoft from intern to principal, blending deep hands-on software engineering with people and program management. Trained with a Master's in Software Engineering from Peking University and a bachelor’s from Wuhan University, he brings strong academic grounding to applied system design and AI research interests (self-described as an AI Scientist). Based in Beijing, Bin is known for translating complex product requirements into reliable, production-ready services and for mentoring teams through architecture and delivery trade-offs. An understated strength is his continuity within a single platform—giving him rare institutional knowledge that accelerates cross-team impact.
code10 years of coding experience
job10 years of employment as a software developer
bookBachelor, Software Engineering, Bachelor, Software Engineering at Wuhan University
bookMaster, Software Engineering, Master, Software Engineering at Peking University
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Github Skills (33)

dotnet10
distributed-computing10
graph-engine10
microsoft-graph10
simulation9
ab-initio8
density-functional-theory8
molecular-dynamics-simulation7
jekyll6
php6
cognitive-services6
server5
webserver5
ai5
open-source5

Programming languages (6)

TypeScriptC#CJavaScriptPHPPython

Github contributions (5)

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microsoft/LightAIMD

May 2022 - Jul 2022

A lightweight ab initio molecular dynamics simulation program
Contributions:1 review, 32 commits, 2 PRs in 1 month
ab-initiomolecular-dynamics-simulationdensity-functional-theoryhartree-fockmolecular-dynamics
shaobin/deepmd-kit

Mar 2021 - Jun 2021

A deep learning package for many-body potential energy representation and molecular dynamics
Contributions:4 pushes in 3 months
representationmolecular-dynamicsdeep-learningbodymolecular
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