Fedor Grab

Machine Learning Engineer at Feria Labs

Old Toronto, Ontario, Canada
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Summary

👤
Senior
🎓
Top School
Fedor Grab is a machine learning engineer with 9 years of experience specializing in data science for bioinformatics, currently building the cloud-native Cell Annotation Service at the Broad Institute. He combines an academic AI background from Northeastern with hands-on MLOps and self-supervised learning applied to single-cell and spatial transcriptomics. As a co-founder of a digital agency, he also brings product, team leadership, and legacy-to-modernization engineering experience across Django backends and CRM integrations. Comfortable shipping research-driven models into production, Fedor mixes practical software craftsmanship with a passion for Python and a pragmatic, cross-disciplinary approach to solving biological data problems.
code9 years of coding experience
job3 years of employment as a software developer
bookMaster's degree Artificial Intelligence, Master's degree Artificial Intelligence at Northeastern University
bookNational University of Science and Technology "MISIS"  (Moscow Institute of Steel and Alloys)
languagesEnglish, Russian
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Github Skills (12)

core-library8
capstone7
classification-model7
python6
data-analysis5
classification4
javascript3
machine-learning3
pipeline3
garbage2
pypi1
data-science1

Programming languages (5)

JavaJavaScriptVueJupyter NotebookPython

Github contributions (5)

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cellarium-ai/cellarium-cloud

Nov 2022 - Feb 2023

Cellarium Cloud Core Library
Contributions:11 releases, 162 reviews, 77 commits in 3 months
core-library
fedorgrab/garbage-model-pipe

Jan 2022 - Feb 2023

A pipeline for training Garbage Classification model
Contributions:1 review, 2 PRs, 64 pushes in 1 year 1 month
pipelinemachine-learningtraininggarbageclassification-model
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