Vlad Shmyhlo
London, England, United Kingdom
Summary
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SeniorVlad Shmyhlo is a machine learning engineer based in London with 11 years of experience building and deploying deep learning systems across product-focused teams. He has moved from front-end and full-stack roles into research and production ML, contributing to computer vision and representation learning at Revolut, Ring, XOresearch and now Cohere. Comfortable bridging research and engineering, he specializes in representation learning and bringing models into scalable production environments. His background in system software and an unusual dual master’s in law and system software give him a pragmatic, multidisciplinary approach to problem solving and product constraints.
11 years of coding experience
Github Skills (37)
sdk10
object-detection10
computer-vision10
reinforcement-learning9
python9
machine-learning9
tensorflow9
deep-learning9
numerics8
machine-translation8
dry-rb7
retinanet7
n-dimensional7
rust6
array-view6
Programming languages (5)
Github contributions (5)
v-shmyhlo/object_detection_pytorch
Dec 2019 - Sep 2020
Contributions:51 commits, 29 pushes, 3 branches in 9 months
vshmyhlo/retinanet-tensorflow
Feb 2018 - Sep 2018
Implementation of RetinaNet in TensorFlow
Contributions:604 commits, 547 pushes, 3 branches in 7 months
retinanettensorflowmachine-learningdeep-learningobject-detection
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