Summary
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.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BSc, Computer Science & Engineering, 3.82, Bachelor of Science - BSc, Computer Science & Engineering, 3.82 at East West University
Master of Science - MSc, Data Science, Master of Science - MSc, Data Science at University of Potsdam
English, german (a1)