Ahmed Humayun
Research Scientist at Google
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAhmed Humayun is a research scientist focused on how data (real and synthetic) and training objectives shape memorization, generalization, and robustness in large-scale image, video, and text foundation models. With eight years of experience spanning academic research at Rice University, industry research roles at Google, and co-founding Bengali.AI, he blends theoretical analysis—particularly function geometry of training dynamics—with practical work on billion-parameter models. He aims to make theory transferable to practice by developing visualization and characterization tools that reveal post-training behavior and improve generative model utility. Based in New York, Ahmed combines deep learning PhD training with hands-on engineering across research and startup environments, bringing an unusual emphasis on interpretable, theoretically inspired frameworks that scale to real-world foundation models.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Deep Learning, Doctor of Philosophy - PhD Deep Learning at Rice UniversityBachelor of Science (B.Sc.) Electrical and Electronics Engineering, Bachelor of Science (B.Sc.) Electrical and Electronics Engineering at Bangladesh University of Engineering and Technology
Github Skills (17)
extraction10
dump10
convolutional-neural-networks9
pytorch9
bengali9
python9
machine-learning9
audio9
music9
nlp8
deep-learning8
tensorflow8
truth8
data-science8
jax6
Programming languages (3)
Github contributions (5)
AhmedImtiazPrio/magnet-polarity
Mar 2022 - Jul 2022
Contributions:35 commits, 30 pushes, 1 branch in 4 months
AhmedImtiazPrio/heartnet
Dec 2017 - Jan 2021
Research dump for heart sound project
Contributions:351 commits, 196 pushes, 7 branches in 3 years 2 months
heartaudiomusicdumpsound
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