Evgenii Indenbom
Principal ML Scientist at Microsoft
Tallinn, Harju County, Estonia
Summary
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Rockstar🎓
Top SchoolEvgenii Indenbom is a Principal ML Scientist at Microsoft with over 16 years of hands-on experience delivering production-grade software and machine learning for real-time signal processing, including noise suppression, echo cancellation and packet loss concealment for Teams and Skype. He combines deep systems and algorithmic expertise—rooted in C++, Java and C# development across Windows and Linux—with leadership of cross-functional teams and R&D groups, previously heading semantic analysis and machine translation efforts at ABBYY. His background spans applied research, patents in language technologies, and academic mentorship at MIPT, reflecting a rare mix of product-focused engineering and formal scientific training in space plasma physics. Colleagues describe him as a pragmatic technical leader who moves cutting-edge deep learning into low-latency, deployed systems while also shaping team processes and scaling complex back-end services. An understated strength is his track record of turning research prototypes into patented, commercially shipped components, bridging academia and enterprise engineering.
16 years of coding experience
16 years of employment as a software developer
Master of Science, Space Plasma Physics, Master of Science, Space Plasma Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
Github Skills (51)
pytorch10
ai-framework10
python10
machine-learning10
onnx10
hardware-acceleration10
audio10
deep-learning10
tensorflow10
gpu10
onnxruntime10
scikit-learn10
mechanical-turk10
numpy9
llm9
Programming languages (5)
Github contributions (5)
eindenbom/PhotoArchive
Nov 2018 - Dec 2018
Contributions:20 pushes, 1 branch in 17 days
microsoft/P.808
Oct 2025 - Dec 2025
This is an open-source implementation of the ITU P.808 standard for "Subjective evaluation of speech quality with a crowdsourcing approach" (see https://www.itu.int/rec/T-REC-P.808/en). It uses Amazon Mechanical Turk as the crowdsourcing platform. It includes implementations for Absolute Category Rating (ACR), Degradation Category Rating (DCR), and Comparison Category Rating (CCR).
Contributions:1 review, 1 PR, 1 push in 2 months
mechanical-turkspeech
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