Summary
Sharmin Pathan is a Senior Applied Scientist with nine years of experience applying deep learning and optimization science to large-scale operational problems and medical imaging research. Currently at Amazon she has advanced middle-mile planning and optimization through research-driven solutions, evolving from data scientist to senior applied scientist roles since 2019. Academically trained with a Master's in Artificial Intelligence from the University of Georgia, her research focuses on early diagnosis, aging, and disease propagation in Alzheimer's using spatio-temporal MRI and geometric deep learning. She brings hands-on expertise in sequence models, graph-based learning, and production ML engineering from prior roles at SAS, Wolters Kluwer, and TCS. Comfortable bridging research and production, she combines rigorous predictive modeling with practical deployment experience in high-impact, real-world systems. An observant researcher, she often blends spatial-temporal insights from medical imaging into novel approaches for logistical optimization.
10 years of coding experience
6 years of employment as a software developer
University of Georgia
Bachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at Don Bosco Institute of Technology (D.B.I.T)
Diploma Computer Science, Diploma Computer Science at VPM's Polytechnic