George Fedoseev
Principal Machine Learning Engineer at Wayve
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolGeorge Fedoseev is a Principal Machine Learning Engineer based in London with 11 years of experience building perception, world-modeling, and robotics systems at the intersection of deep learning and embodied AI. At Wayve he progressed from senior R&D on foundation world models for autonomous driving to a principal role, driving research-to-product work that blends CV, RL, and large-scale scene understanding. His background spans production voice AI at Huawei, robotics software for Universal Worker platforms, and real-time AR/VR systems, giving him rare cross-domain fluency from low-latency embedded perception to large model training. Known for a focus on "world modelling," he combines rigorous computational math training with hands-on implementation and deployment experience. An engineer who moves comfortably between research prototypes and production pipelines, he brings pragmatic systems thinking to complex, safety-critical ML problems.
11 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Computational and Applied Mathematics, Bachelor's degree, Computational and Applied Mathematics at Saint Petersburg State UniversityPhys-Math Lyceum 30
Russian, English
Stackoverflow
102reputation
7kreached
5answers
5questions
Github Skills (92)
python10
deep-learning10
speech10
gpu10
embedded10
cluster-computing10
tensorflow10
speech-to-text10
machine-learning10
raspberry10
numpy9
multimodal9
acceleration9
ctc9
neural-network9
Programming languages (7)
Github contributions (5)
GeorgeFedoseev/georgefedoseev.github.io
Nov 2016 - Aug 2022
web site
Contributions:106 pushes in 5 years 10 months
web-site
GeorgeFedoseev/DeepSpeech
Mar 2018 - Jan 2019
Russian Speech Recognition system based on Mozilla's DeepSpeech TensorFlow implementation.
Contributions:1 release, 555 commits, 505 pushes in 10 months
deepspeechspeech-to-textrecognitionctcspeech-recognition
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