Roman Shkarin

Senior Machine Learning Engineer at Remerge

Berlin, Germany
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Summary

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Senior
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Top School
Roman Shkarin is a Senior Machine Learning Engineer and software architect based in Berlin with 12 years of experience building production ML and distributed systems. He has a strong academic foundation (PhD in Computer Science) and a track record of turning large-scale, high-throughput imaging research into performant, GPU-accelerated pipelines and production ML at Remerge. Roman blends low-level performance engineering (20x and 15x speedups on image algorithms) with practical ML for detection, segmentation and large data processing, and is fluent in Go and Python. He’s equally comfortable designing architectures for terabyte-scale experiments and shipping reliable features in ad-tech, and maintains developer-focused tooling (e.g., the Quanfima Python package) that bridges research and applied engineering.
code12 years of coding experience
job12 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, 1.0, Doctor of Philosophy - PhD, Computer Science, 1.0 at Karlsruhe Institute of Technology (KIT)
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Tomsk Polytechnic University
languagesRussian, English, German
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Stats
177reputation
33kreached
2answers
13questions
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Github Skills (87)

mason10
image-registration10
morphological-analysis10
quantitative9
ants9
brain-computer-interface9
normalization9
image-segmentation9
detector9
signal-processing8
ufo8
neuroimaging8
apache-spark7
nvim7
linter7

Programming languages (7)

TypeScriptC++CMakefileGoLuaPython

Github contributions (5)

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rshkarin/quanfima

Apr 2018 - Jun 2021

Quanfima (Quantitative Analysis of Fibrous Materials)
Contributions:28 commits, 3 PRs, 24 pushes in 3 years 3 months
data-analysismaterial-sciencepythonquantitative-analysisbrain-computer-interface
AFSRepo/AFS-Segmentation

Sep 2015 - Aug 2016

Contributions:41 commits in 11 months
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Roman Shkarin - Senior Machine Learning Engineer at Remerge