microsoft > microsoft Employee Directory > Thomas Osterbind
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Thomas Osterbind
Senior Software Engineer
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Location: New York, New York, United StatesApprox. Years of Experience: 18
Thomas Osterbind's Current Workplace
Microsoft
Company Size
2500+
Amount Raised
$1.0M
Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. \n\nMicrosoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.
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Notable Investors
Microsoft, KB Securities, Technology Venture Investors
Enterprise
Developer Platform
Enterprise Software
Experience
Senior Software Engineer
Microsoft · Full-time
Dec 2021 - Present
3 yrs 4 mos
Zipari
Oct 2018 - Dec 2021
Senior Software Engineer
Jun 2019 - Dec 2021
2 yrs 7 mos
Software Engineer
Oct 2018 - Jun 2019
9 mos
Senior Engineer and Data Scientist
Qri
Sep 2017 - Sep 2018
1 yr 1 mo
Dressometry
Jun 2015 - Sep 2017
Head Of Engineering
Apr 2017 - Sep 2017
6 mos
- Achieved an order-of-magnitude reduction in tagging costs through the continuous refinement of ‘human-in-the-loop’ image tagging platform by focusing on efficiency gains from both user-interface improvements for review process and rapidly iterating on improved modeling techniques and architectures - Recruited, directed, and managed team of software engineers and machine learning PhD candidates
Machine Learning Software Engineer
Jun 2015 - Apr 2017
1 yr 11 mos
- Developed, trained, and productionalized 85+ convolutional neural networks capable of tagging product images with high accuracy across 300+ tags/attributes (PyCaffe, theano, AWS, scikit-learn, scipy) -Designed, implemented, and maintained tagging review platform to facilitate the generation of error-free product metadata at scale (PyCaffe, theano, AWS, scikit-learn, scipy)
Research and Teaching Assistant
Oregon State University
Jun 2014 - Jun 2015
1 yr 1 mo
Risk Manager
BBVA Compass
Sep 2010 - Mar 2014
3 yrs 7 mos
Research Assistant
Argonne National Laboratory
Jun 2009 - Aug 2010
1 yr 3 mos
Identified resource bottlenecks and derived parameter estimates for renewable energy production functions in climate change policy assessment model, CIM-EARTH
Summer Associate
Navigant Consulting
Jun 2008 - Sep 2008
4 mos
Environmental Specialist
HGS Engineering
Jun 2007 - Aug 2007
3 mos
Education
  • Dates unavailable
    University of ChicagoBA, Economics
  • Dates unavailable
    Oregon State UniversityBS, Computer Science