Mohammad Abouali is a Senior Applied Scientist with two decades of experience translating complex mathematical models into production-grade analytic software across academia, national labs, startups, and Fortune-tier companies. He combines deep numerical and geo-spatial expertise—PDEs, optimization, remote sensing, and computational geometry—with hands-on systems skills in Java, C/C++, CUDA, Python and cloud-native AWS services. At Amazon Project Kuiper he architects large-scale optimization for satellite constellations and leads technical roadmaps while mentoring new team members. His background spans high-performance computing on national supercomputers, GPU-accelerated implementations (200x speed-ups), and patent-driven productization of research ideas. Comfortable moving from customer requirements to formal models to deployed services, he is also an adjunct faculty who brings strong communication and cross-disciplinary collaboration to solve mission-critical problems.
9 years of coding experience
11 years of employment as a software developer
BS Civil Engineering, BS Civil Engineering at University of Tehran
Doctor of Philosophy (Ph.D.) Computational Science, Doctor of Philosophy (Ph.D.) Computational Science at Claremont Graduate University
Master of Science (MS) Computational Science, Master of Science (MS) Computational Science at San Diego State University
Master of Science (MS) Geo-Information Science and Earth Observation, Master of Science (MS) Geo-Information Science and Earth Observation at University of Twente - ITC
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Mohammad Abouali - Senior Applied Scientist at Amazon Project Kuiper