Boyko Vodenicharski
Machine Learning Engineer at Yoti
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolBoyko Vodenicharski is a Machine Learning Engineer based in the UK with eight years of experience spanning research, infrastructure, and production AI services. He has a strong academic foundation from Cambridge and Heidelberg and has moved research innovations into practice—e.g., transforming a graph neural network’s complexity from quadratic to linear for time-series forecasting at the Alan Turing Institute. His work covers generative modelling, OOD detection, and optimizing models for both server-side and edge deployment at Yoti, backed by hands-on GPU cluster engineering and mentoring interns. Comfortable in both academic and product environments, he combines high-performance code, open-source contributions to scientific imaging tools, and leadership in GenAI reading groups to bridge novel research and reliable deployments.
8 years of coding experience
4 years of employment as a software developer
B.A. Natural Sciences, Physics, B.A. Natural Sciences, Physics at University of CambridgeMaster of Science - MS, Computational Science, Master of Science - MS, Computational Science at Heidelberg UniversityHigh School Diploma, High School Diploma at First English Language School Sofia
Github Skills (49)
qt10
gnn10
temporal-data10
graph-embedding10
sh10
temporal9
spatial-data9
python9
spatial-analysis9
machine-learning9
segmentation9
bioinformatics9
density-estimation9
geometric9
pytorch-geometric9
Programming languages (3)
Github contributions (5)
boykovdn/ilastik
Aug 2019 - Dec 2019
ilastik-shell, applets, and workflows to string them together.
Contributions:55 pushes, 8 branches in 3 months
to-stringpythonstringilastikapplets
boykovdn/Temika_XML_compiler
Nov 2018 - Aug 2021
Contributions:4 pushes, 3 branches in 2 years 9 months
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