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.
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 University
National University of Science and Technology "MISIS" (Moscow Institute of Steel and Alloys)
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