Shima Alizadeh is an applied scientist with a PhD in Mechanical and Computational Engineering and a decade of experience building high-performance computing and ML systems, now researching next-generation AWS machine learning and deep learning services in Palo Alto. She brings deep expertise in numerical simulation, parallel computing (including a portable Conjugate-Gradient solver using Legion), and turbulence/ electrokinetics modeling from academic roles at Stanford and Tehran. At Adobe she translated research into production-ready machine learning solutions, and today she blends rigorous scientific methods with scalable cloud engineering at AWS. A rare mix of scientist and artist, she pairs strong HPC and simulation credentials with an eye for creative problem-solving and product impact.
10 years of coding experience
13 years of employment as a software developer
Ignite Program, Ignite Program at Stanford University Graduate School of Business
Bachelor of Science (B.Sc.), Mechanical Engineering, Bachelor of Science (B.Sc.), Mechanical Engineering at University of Tehran
Doctor of Philosophy (Ph.D.), Mechanical Engineering and Computational Engineering, Doctor of Philosophy (Ph.D.), Mechanical Engineering and Computational Engineering at Stanford University
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.
Request Free Trial
Shima Alizadeh - Applied Scientist at Amazon Web Services (AWS)