Thomas Osterbind
Senior Software Engineer at Microsoft
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolThomas Osterbind is a senior software engineer and machine learning practitioner based in New York with 11 years of experience building data-driven products and production ML systems. He blends full-stack engineering with data science, having designed and deployed dozens of convolutional neural networks and production tagging pipelines that dramatically cut annotation costs. After leading engineering and ML efforts at Dressometry and Qri, he scaled consumer and enterprise systems at Zipari and now contributes to large-scale platforms at Microsoft. His background spans research, risk management, and applied economics, which informs a pragmatic approach to modeling trade-offs and deployment constraints. Comfortable across PyCaffe/theano-era tooling through modern cloud stacks, he focuses on turning noisy data into reliable, automated metadata and business value. Colleagues rely on him to move projects from prototype to production while mentoring engineers and iterating rapidly on model and UX improvements.
11 years of coding experience
11 years of employment as a software developer
BS, Computer Science, BS, Computer Science at Oregon State UniversityBA, Economics, BA, Economics at University of Chicago
Stackoverflow
730reputation
23kreached
0answers
1question
Github Skills (53)
trust10
ipfs9
golang9
p2p8
schema-org8
data-science8
json-schema7
python-client7
variable-names7
tensorflow6
windows6
python6
json6
static-site5
converting4
Programming languages (3)
Github contributions (5)
osterbit/CorvoReuseAndRepair
Apr 2015 - Jun 2015
Contributions:14 PRs, 35 pushes, 3 branches in 2 months
corvallisrubypurposelocatebusinesses
qri-io/varName
Nov 2017 - Nov 2017
Provides Utility for converting length titles into condensed but still recognizable variable names
Contributions:8 commits, 12 PRs, 13 pushes in 11 days
resolvevariable-nameslengthconvertingcondensed
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