Golam Rasul

Research Assistant at Fraunhofer Heinrich Hertz Institute HHI

Potsdam, Brandenburg, Germany
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Summary

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Senior
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Top School
Golam Rasul is a research-oriented ML software engineer with 8 years of experience, currently developing multimodal large language models for medical imaging and report generation at Fraunhofer HHI. He combines hands-on deep learning expertise (PyTorch, Hugging Face, computer vision) with production software skills—building scalable evaluation platforms and services using Python, AWS, Django/FastAPI, Docker and modern frontend tooling. With an MSc in Data Science from the University of Potsdam and a BSc in Computer Science (3.82) from East West University, he bridges academic rigor and practical engineering, having taught programming labs early in his career. Colleagues rely on him to turn complex healthcare data into deployable ML systems that both generate and interpret medical images, an uncommon full-stack capability in clinical AI.
code8 years of coding experience
job4 years of employment as a software developer
bookBachelor of Science - BSc, Computer Science & Engineering, 3.82, Bachelor of Science - BSc, Computer Science & Engineering, 3.82 at East West University
bookMaster of Science - MSc, Data Science, Master of Science - MSc, Data Science at University of Potsdam
languagesEnglish, german (a1)
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Github Skills (5)

benchmarking5
benchmark4
markdown1
jekyll1
hosts1

Programming languages (2)

JavaScriptPython

Github contributions (5)

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Contributions:1 push, 1 branch in 4 years 7 months
Contributions:6 pushes, 3 branches in 5 years 2 months
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Golam Rasul - Research Assistant at Fraunhofer Heinrich Hertz Institute HHI