Summary
Marmar Mehrabadi is a Scientific Software Developer with a PhD in Mechanical Engineering and 9 years of experience applying high-performance computing to computational and experimental modeling of mechanical and biomedical systems. He designs and transitions scientific algorithms into production—currently building automated, near-real-time satellite data workflows for NOAA while optimizing and validating code in Python, C/C++ and FORTRAN on Kubernetes and cloud platforms. His background blends deep CFD/LBM/FEA expertise from academia (Georgia Tech) with practical cloud-scale workflow engineering for simulation-driven design and optimization. He has led parallel computing projects modeling blood flow and thrombus formation, mentored students, and published grant-funded research, demonstrating an ability to translate novel numerical methods into robust, prod-ready software. A less obvious strength is his end-to-end pipeline focus: from experimental setup and image analysis through automated parametrized simulation, containerization, and HPC/cloud deployment.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Mechanical Engineering, Doctor of Philosophy (PhD), Mechanical Engineering at Georgia Institute of Technology
Master of Applied Science (M.A.Sc.), Mechanical Engineering, Master of Applied Science (M.A.Sc.), Mechanical Engineering at University of Toronto
Bachelor of Science (BSc), Mechanical Engineering, Bachelor of Science (BSc), Mechanical Engineering at Sharif University of Technology