Ajjay Omprakas is a PhD-level CFD and thermal engineer with 11 years of experience applying advanced simulation to aerospace propulsion, vehicle aerodynamics, and semiconductor process modeling. He combines deep numerical methods expertise (plasma dynamics, combustion, multiphase flow) with practical toolchain mastery (ANSYS Fluent, STAR-CCM+, CFDWARP, Python, MPI) to cut simulation times and accelerate R&D—most notably reducing plasma model runtime by 45% at Tokyo Electron. His work has secured six-figure funding and driven measurable performance gains, from a 13% increase in Formula SAE downforce to an epitaxial growth model within 10% of experiments. Based in Greater Phoenix, he blends academic rigor (peer-reviewed Editors’ Pick and AIAA Best Paper) with hands-on industry impact and seeks CFD/thermal roles that bridge research and product delivery. An often-overlooked strength is his cross-domain fluency: he routinely maps aerospace modeling techniques to semiconductor process problems, uncovering novel optimization avenues.
11 years of coding experience
2 years of employment as a software developer
The University of Arizona
Master’s Degree Aerospace Aeronautical and Astronautical/Space Engineering, Master’s Degree Aerospace Aeronautical and Astronautical/Space Engineering at The University of Texas at Arlington
Bachelor’s Degree Aeronautical/Aerospace Engineering Technology/Technician, Bachelor’s Degree Aeronautical/Aerospace Engineering Technology/Technician at Anna University Chennai
Contributions:4 PRs, 10 pushes, 2 branches in 14 days
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