Michael Sharman

Technical Program Manager at OpenAI

London, England, United Kingdom
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Summary

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Senior
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Top School
Michael Sharman is a Technical Program Manager with nine years of experience driving AI and data initiatives at leading labs, currently coordinating programs at OpenAI after roles at DeepMind and Microsoft. With a background in AI from Brunel University and hands-on experience as a data scientist, he bridges research and product delivery to operationalize machine learning at scale. He combines program leadership with practical engineering chops—his open-source contribution to Microsoft’s CNTK improved LabelMe-to-CNTK conversion for computer vision workflows. Based in London, he is skilled at aligning cross-functional teams, translating complex ML requirements into production-ready roadmaps, and optimizing developer usability in tooling and data pipelines.
code9 years of coding experience
job9 years of employment as a software developer
bookBachelor's degree Computer Science (Artificial Intelligence), Bachelor's degree Computer Science (Artificial Intelligence) at Brunel University of London
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Stackoverflow

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Github Skills (11)

computer-vision10
machine-learning10
cntk10
deep-learning10
python10
xml9
neural-network8
image-processing8
cpp4
cplus4
csharp4

Programming languages (2)

C++Python

Github contributions (4)

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microsoft/CNTK

Feb 2017 - Feb 2017

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Role in this project:
userML Engineer
Contributions:8 commits, 3 PRs, 1 comment in 8 days
Contributions summary:Michael primarily contributed to a LabelMe conversion script within the CNTK repository, which is a deep-learning toolkit. The commits involved creating and refining a Python script to transform LabelMe annotation files (XML) into a format compatible with CNTK's image detection framework. These changes included initial script creation, output filename correction, and adjustments to the region of interest (ROI) output format, directly impacting the usability of CNTK for computer vision tasks.
pytorchpythondeep-learningc-plus-plusmachine-learning
MSharman/CNTK

Feb 2017 - Feb 2017

Contributions:2 PRs, 9 pushes, 3 branches in 8 days
pytorchdeep-learningcomputer-visionmachine-learningcognitive
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