Seckin Cengiz is a Senior Software Engineer specializing in simulation systems and Physical AI, with over a decade of hands-on experience applying real-time 3D technologies to industrial problems. He moved from XR and game-engine work in Unity to building digital twins, synthetic data pipelines, and robotics workflows using NVIDIA Omniverse (Isaac Sim) for logistics, manufacturing, and automation. At Siemens he developed novel methods for synthetic-data-driven object recognition and 3D mesh protection, bridging R&D research with production-grade simulation tools. Now at Grid Dynamics’ Physical AI Lab (and as an independent engineer) he focuses on scalable simulation infrastructure that lets teams design, test, and validate systems virtually before deployment. He combines embedded control and ML experience with GPU-accelerated simulation and an interest in differentiable physics, which informs practical solutions for robotics and optimization. Outside engineering he pursues oil painting and sculpture, bringing a design-minded perspective to both interfaces and physical-system modeling.
10 years of coding experience
10 years of employment as a software developer
BS, Electrical and Electronics Engineering, BS, Electrical and Electronics Engineering at TOBB Ekonomi ve Teknoloji Üniversitesi
Contributions:9 pushes, 1 branch in 2 years 6 months
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