Fedor Grab
Machine Learning Engineer at Broad Institute of MIT and Harvard
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolFedor 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.
9 years of coding experience
3 years of employment as a software developer
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at Northeastern UniversityNational University of Science and Technology "MISIS" (Moscow Institute of Steel and Alloys)
English, Russian
Github Skills (19)
bioinformatics9
beancount8
filemaker7
crowd7
capstone7
python-client7
classification-model7
tushare6
pii6
recurly5
python5
classification4
pipeline4
garbage3
counting3
Programming languages (4)
Github contributions (5)
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
anarchyincubator/eggslist-backend
May 2022 - Mar 2024
Contributions:4 reviews, 71 PRs, 303 pushes in 1 year 10 months
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