Summary
Morten Pedersen is a Senior Data Platform Engineer with a decade of hands-on experience building ML/AI platforms and MLOps pipelines across enterprise and research settings. He has led multi-disciplinary teams at IBM and productized ML solutions at GSK and Rokt, now driving data platform work at NVIDIA with a focus on cloud-native, scalable architectures. Trained with an MSc in Scientific Computing from NYU and a math-heavy BSc from the University of Copenhagen, he blends applied mathematics, medical imaging, and software engineering to solve complex data problems. Comfortable in Python, Scala, JavaScript and more, he builds reproducible pipelines, RESTful APIs and reusable platform components that accelerate researcher-to-production workflows. He also has a long track record of mentoring and teaching—from university courses to organizational training—so he brings technical depth plus a commitment to developing teams. A less obvious strength is his background in connectome analysis and numerical methods, which informs a pragmatic, simulation-aware approach to ML system design.
10 years of coding experience
8 years of employment as a software developer
Master of Science (M.Sc.) in Scientific Computing Scientific Computing, Master of Science (M.Sc.) in Scientific Computing Scientific Computing at New York University
Bachelor of Science (B.sc.) in Natural Science & IT Specilization in Mathematics, Bachelor of Science (B.sc.) in Natural Science & IT Specilization in Mathematics at Københavns Universitet - University of Copenhagen
General High School degree (STX) Mathematics Physics and Chemistry, General High School degree (STX) Mathematics Physics and Chemistry at Esbjerg Gymnasium & HF
English, Danish