Mahfuzur Rahman
Data Scientist
Bellevue, Washington, United States
Summary
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SeniorMahfuzur Rahman is a Principal Machine Learning Engineer with a Ph.D. in Computer Science and over a decade of experience building production ML and LLM-based systems for Meta, Lowe’s, Samsung, and Microsoft. He designs end-to-end pipelines—RAG, evaluation frameworks, monitoring, and MLOps—that have materially improved iteration speed, latency, and quality for messaging and retail GenAI products. Equally comfortable in research and production, he has nine journal publications (including Science) and a track record of translating biological data insights into deployed models during his PhD. He mentors and hires engineers, leads cross-functional initiatives, and contributes as an editor for the Journal of Open Source Software while volunteering on impactful Omdena projects. Notably, his work on automated LLM evaluators and multilingual synthetic data sampling established organization-wide best practices used by 50+ engineers.
11 years of coding experience
Github Skills (24)
journal9
turing-machine9
nmf9
open-access9
creative-commons8
genome8
automata8
academia8
bioinformatics7
automaton7
fsm7
genomics7
finite-automata6
python6
knockout6
Programming languages (2)
Github contributions (5)
csbio/SGA_Public
May 2017 - Mar 2021
Contributions:1 release, 3 pushes, 1 tag in 3 years 10 months
mahfuz05062/FLEX_R
Feb 2020 - May 2021
FunctionaL Evaluation of eXperimental perturbation (i.e. genome wide knockout) screens
Contributions:111 commits, 12 PRs, 34 pushes in 1 year 3 months
single-cell-genomicsgenomeperturbationknockoutevaluation
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