Amit Hasan

Graduate Research Assistant

Stafford, United States
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Summary

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Amit Hasan is a PhD candidate and Graduate Research Assistant at the University of Connecticut specializing in efficient machine learning systems, with 11 years of experience applying algorithm–system co-design to make large models and graph neural networks practical on constrained hardware. His work spans quantization for deploying LLMs on small GPUs, GNN pruning and SIMD-aware kernels, and a GPU accelerator for GCNs, producing multi-fold runtime and memory improvements that have been recognized at DAC, ICCAD, ASPLOS, and HPCA. Prior to his PhD he shipped production ML solutions at Hiperdyne in Tokyo, improving user-group classification and anomaly detection for Sony’s MVNO, and built reinforcement-learning agents for research competitions. He combines deep theoretical insight with hands-on engineering—evident in a submitted ICLR paper and conference-grade system designs—while also applying vision models to real-world problems like traffic safety and disaster damage assessment. Outside research he pursues robotics, electronics, photography, and continuous self-directed learning, often prototyping ideas end-to-end from model to deployment.
code11 years of coding experience
job3 years of employment as a software developer
bookSSC, Science, SSC, Science at Polli Unnayan Academy Laboratory School and College
bookBachelor of Science, Electrical and Electronics Engineering, Bachelor of Science, Electrical and Electronics Engineering at Bangladesh University of Engineering and Technology
bookHSC, Science, HSC, Science at Bogra Cantonment Public School and College
languagesBengali, English, Japanese
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Stackoverflow

Stats
11reputation
3kreached
1answer
0questions
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Github Skills (22)

ranking10
science10
computer-science10
react10
google-colaboratory8
jupyter-notebook6
jupyter-kernels6
amazon-ec26
amazon-web-services6
winscp6
gnn6
python4
gpu3
pytorch3
graph3

Programming languages (3)

Jupyter NotebookPythonCuda

Github contributions (5)

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amit-eee/OS-Fall-2022

Nov 2022 - Dec 2022

Contributions:7 pushes in 20 days
amit-eee/VoxFormer

Apr 2023 - Jun 2023

Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]
Contributions:14 pushes in 1 month
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