Hassan Mahmudulla
Software Engineer II at Microsoft AI
Redmond, Washington, United States
Summary
👤
Senior🎓
Top SchoolHassan Mahmudulla is a software engineer II at Microsoft with nine years of experience bridging academic research and industry-grade MLOps for large-scale search and AI platforms. He holds a PhD in Computer Science and early training in physics, which informs his rigorous, measurement-driven approach to model reliability and performance engineering for Bing Search. His background includes multiple internships and research roles that honed production software skills alongside experimental ML research, making him comfortable moving models from prototype to production. Known for valuing novel approaches and cross-disciplinary collaboration, he focuses on building scalable, maintainable ML infrastructure that delivers real-world impact.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Texas at El PasoBachelor of Science (B.Sc.), Physics, Bachelor of Science (B.Sc.), Physics at University of Dhaka
English, Bengali
Github Skills (38)
deep-learning10
convolutional-neural-networks9
docking9
drug-discovery9
discovery9
message-passing9
chemistry9
cheminformatics8
machine-learning8
machine-learning-models8
biology7
autoencoder7
computational-chemistry7
pki7
proteins7
Programming languages (11)
Github contributions (5)
sirimullalab/DLSCORE
Feb 2018 - Apr 2021
DLSCORE: A deep learning based scoring function for predicting protein-ligand binding affinity
Contributions:2 releases, 199 commits, 5 PRs in 3 years 2 months
deep-learning
sirimullalab/LigandNet
Dec 2019 - Aug 2023
LigandNet, a tool that combines different machine learning models into one platform for protein-specific ligand activity prediction.
Contributions:1 release, 4 PRs, 71 pushes in 3 years 8 months
machine-learning-models
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