Summary
Tanhim Islam is a research scientist and data scientist with a decade of experience at the intersection of large language models, multimodal machine learning, and biomedical AI. Currently based at Uniklinik RWTH Aachen and pursuing a PhD focused on AI and data science for biomedical research, he specializes in genome-driven models, explainable AI, and deploying deep learning pipelines into clinical research. His background blends hands-on MLOps and API deployment from enterprise roles at CONET with academic work on AutoML and meta-learning for biomedical image analysis at Fraunhofer. Known for turning complex biomedical datasets into validated, production-ready ML solutions, he brings both research rigor and practical engineering chops to translational AI projects. An early contributor to DL-driven biometrics research with a published Springer paper, he combines domain depth with an eye for reproducible, explainable systems.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Computer Science and Engineering, Bachelor of Science - BS Computer Science and Engineering at BRAC University
Doctor of Philosophy - PhD Artificial Intelligence and Data Science for Biomedical Research, Doctor of Philosophy - PhD Artificial Intelligence and Data Science for Biomedical Research at RWTH Aachen University
English, Bangla, German