Vlad Shmyhlo
Machine Learning Engineer at Cohere
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolVlad 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
7 years of employment as a software developer
Master's degree, Law, Master's degree, Law at Classic Private UniversityMaster's degree, System software, Master's degree, System software at Zaporizhia State Engineering Academy
English, Ukrainian
Github Skills (53)
autoencoder10
sdk10
python9
api9
deep-learning9
n-dimensional8
reinforcement-learning8
ethereum8
tensorflow8
datasets8
machine-translation8
multidimensional8
machine-learning7
numerics7
slicing6
Programming languages (4)
Github contributions (5)
v-shmyhlo/object_detection_pytorch
Dec 2019 - Sep 2020
Contributions:51 commits, 29 pushes, 3 branches in 9 months
vshmyhlo/research
Apr 2020 - Sep 2022
Contributions:130 commits, 140 pushes, 3 branches in 2 years 5 months
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