Hasan Hasan

PhD Candidate In Pattern Recognition Lab

Nuremberg, Bavaria, Germany
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Summary

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Senior
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Top School
Hasan Hasan is a PhD candidate in the Pattern Recognition Lab at FAU with 8 years of hands-on experience building and deploying deep learning and NLP systems across industry and academia. He has driven production-ready face recognition and liveliness solutions—optimizing inference latency by up to 50% and enabling edge deployments through model pruning and NCNN implementations. At Innomotics he developed a reusable LLM-powered RAG framework, and earlier work includes creating a large Bangla NLP corpus and training ELMo-style embeddings that improved POS tagging. Based in Nuremberg, he blends research rigor with practical MLOps, often turning synthetic data generation and knowledge distillation into measurable product gains. Notably, his background spans both model-level optimizations and end-to-end deployment, making him equally comfortable in research prototyping and production rollouts.
code8 years of coding experience
job5 years of employment as a software developer
bookBachelor of Science - BS, Computer Science and Engineering, Bachelor of Science - BS, Computer Science and Engineering at North South University
bookMaster of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at FAU Erlangen-Nürnberg
languagesBangla, English, German
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Github Skills (68)

yolov59
object-detection9
deep-learning8
toolbox8
machine-learning8
pytorch8
benchmark7
vision-transformer7
faster-rcnn7
onnx7
speech7
audio7
yolov47
ultralytics7
ios7

Programming languages (3)

CSSJupyter NotebookPython

Github contributions (5)

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Contributions:3 commits, 4 pushes, 1 branch in 11 months
Contributions:14 commits, 11 pushes, 1 branch in 1 year
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Hasan Hasan - PhD Candidate In Pattern Recognition Lab