Nasim Rahaman is a co-founder and machine learning researcher with 12 years of experience bridging deep learning research and applied systems, now based in Berlin. He completed a PhD co-supervised by Yoshua Bengio and Bernhard Schölkopf, and has research internships at Facebook AI and AWS that led to NeurIPS publications on neural attentive circuits and dynamic inference. Prior work in connectomics produced top-performing models for ISBI and contributed to MICCAI-winning pipelines, showing strength in both theory and large-scale biomedical applications. At Tiptree Systems he brings this research-first mindset to product-building, combining rigorous academic grounding in physics with hands-on model development and deployment. An international background—from Dubai schooling to Heidelberg and Montréal—gives him fluency in cross-disciplinary collaboration and deploying research into real-world systems.
12 years of coding experience
3 years of employment as a software developer
Master’s Degree, Physics, Master’s Degree, Physics at Ruprecht-Karls-Universität Heidelberg
Bachelor’s Degree, Physics, Bachelor’s Degree, Physics at Heidelberg University
High School, German Abitur (Fachgebundene Hochschulreife), High School, German Abitur (Fachgebundene Hochschulreife) at Studienkolleg der Universität Heidelberg
High School, Physical Sciences, High School, Physical Sciences at The Indian High School, Dubai
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