Ashkan Mohammadi is a Senior Data Scientist with six years of experience bridging applied mathematics, operations research, and large-scale machine learning to design optimization algorithms for training deep neural networks. He holds a Ph.D. in Applied Mathematics and an M.A. in Statistics, and has moved from postdoctoral research roles at University of Minnesota and Georgetown to industry positions at Vistra Corp. and Aterna AI, applying academic rigor to production problems. Ashkan combines theoretical expertise in optimization with practical full-stack development skills (Django/NextJS), enabling end-to-end solutions from model design to deployment. He has pursued broad professional development—completing IBM’s Professional Data Science certifications—and is based in Dallas, bringing a research-first mindset to commercial AI systems. An often-overlooked strength is his cross-disciplinary fluency: he translates complex OR formulations into scalable ML implementations that drive measurable business impact.
6 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.) Applied Mathematics, Doctor of Philosophy (Ph.D.) Applied Mathematics at Wayne State University
Master's degree Applied Mathematics (Operation Research), Master's degree Applied Mathematics (Operation Research) at University of Tehran
Contributions:2 releases, 63 commits, 3 PRs in 15 days
uniform-distributionuniformdistributionjulia
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.