Polydefkis Gkagkos
Research Engineer at Huawei Technologies Research & Development (UK) Ltd
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolPolydefkis Gkagkos is a Research Engineer based in London with 8 years’ experience turning machine learning research into commercial products. He has built real-time, production-focused computer vision systems—most notably a sensorless motion-capture pipeline streaming to Unreal Engine—and authored end-to-end 3D human pose models from raw pixels. With a strong academic foundation (MSc in Machine Learning from KTH) and hands-on R&D at Huawei UK, he bridges rigorous ML research and pragmatic engineering. He emphasizes deployable solutions and has a knack for teaching machines to learn in production contexts, often solving systems and integration challenges that aren’t obvious from model metrics alone.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Machine Learning, 4.56/5, Master's degree, Machine Learning, 4.56/5 at KTH Royal Institute of TechnologyBachelor's degree, Informatics, 7.28/10, Bachelor's degree, Informatics, 7.28/10 at Aristotle University of Thessaloniki (AUTH)
Github Skills (36)
object-detection10
computer-vision10
image-processing9
image-classification9
coreml9
pytorch9
onnx9
classification9
yolov59
inference9
tensorrt9
openmmlab9
instance-segmentation9
vision-transformer9
deep-learning9
Programming languages (3)
Github contributions (5)
MingmChen/Speaker_Verification
May 2019 - May 2019
Academic Project for Speech and Speaker Recognition course DD2119
Contributions:32 commits in 22 days
speaker-recognitionspeech
gkagkos/Probabilistic-PCA
Dec 2018 - Jan 2019
Contributions:26 commits, 14 pushes, 1 branch in 1 month
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