Mohammad Islam
Machine Learning Scientist at Qloo
Washington, United States
Summary
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Senior🎓
Top SchoolMohammad Islam is a Machine Learning Scientist with a Ph.D. from Virginia Tech and a decade of experience building and deploying ML systems across industry and academia. He spent three years as an Applied Scientist at Amazon’s Payment Risk organization, delivering scalable models for fraud detection, account compromise, and 2FA optimization, and now contributes ML expertise at Qloo. His technical breadth includes NLP, Graph Neural Networks, and Reinforcement Learning, with a track record of shipping production models and running experiments to expand business coverage. Comfortable translating research into product, he published during his Ph.D., wrote grant proposals, and previously developed sequence-to-sequence models during a Verisign internship. Based in Washington, he combines strong communication and cross-team collaboration skills with disciplined project delivery.
10 years of coding experience
8 years of employment as a software developer
Virginia TechBachelor of Science (BSc), Computer Science and Engineering, 3.68, Bachelor of Science (BSc), Computer Science and Engineering, 3.68 at Bangladesh University of Engineering and Technology
English, BengaliGithub contributions (5)
raihan2108/signet
Feb 2017 - Aug 2018
Contributions:30 commits, 2 pushes, 2 comments in 1 year 6 months
raihan2108/deep-diffuse
Dec 2017 - Jul 2019
Contributions:56 commits, 12 pushes, 1 comment in 1 year 7 months
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