Summary
Shah Rahman is an interdisciplinary AI researcher and MLOps engineer with 11 years of experience building medical imaging, neuro-AI, and secure data solutions across academia and industry. Currently a postdoctoral fellow at Université de Montréal, he develops automated pipelines and unified data management frameworks to turn multi-lab neuroscience recordings into analysis-ready datasets that accelerate collaborative research. As founder of nFuture and ITFist he combines entrepreneurial leadership with hands-on research in computer vision, deep learning, and information security, and his PhD work focused on denoising and restoration of microscopy images. Comfortable moving projects from prototype to production, he has taught and led teams internationally and retains a practical developer’s mindset rooted in open-source and agile practices. Unexpectedly, his background spans both embedded IoT studies and large-scale neurodata orchestration, giving him a rare bridge between low-level systems and high-level AI workflows.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Software Engineering, Bachelor of Science - BS, Software Engineering at Daffodil International University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université Bourgogne Franche-Comté
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Jahangirnagar University
English, Bangla, Hindi, French