Summary
Sameh Mohamed is a Senior Applied Scientist with 11 years of experience bridging research and production, currently building ML/AI features for Microsoft Word Editor and Copilot. He combines a PhD in Computer Science and postdoctoral work in representation learning and bioinformatics with hands-on engineering across time-series forecasting, CI/CD for ML, and distributed systems. His career spans industry roles at Mastercard and Carelon and academic projects on knowledge graph embeddings and patient monitoring, showing an ability to move models from research into regulated, production contexts. Comfortable in Python and sequence models, he also has a background building speech and visualization systems and has applied machine learning to healthcare and financial transaction data. Based in Connacht, Ireland, Sameh brings a research-first mindset to product-focused ML, often focusing on interpretable, deployable solutions rather than purely theoretical work.
11 years of coding experience
12 years of employment as a software developer
Master of Science Interventional Cardiovascular Medicine, Master of Science Interventional Cardiovascular Medicine at University of Galway
Bachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at Helwan University Cairo
Arabic, English