Dmytro Kuksenko is a Structures Analysis Engineer and computational scientist with a Ph.D. in Computational Sciences and Engineering and eight years of experience applying numerical modeling, optimization, and machine learning to real-world systems. He combines strong programming skills in Python, C++/C, MATLAB and CUDA with hands-on use of PyTorch/TensorFlow and scientific libraries to deliver scalable simulation and data-driven solutions. His career spans academia and industry—from postdoctoral research and international collaboration at TU Wien to leading scientific development at KineticCore and now tackling structural analysis challenges at Boeing. Dmytro brings expertise in both classical numerical analysis and modern AI approaches, frequently bridging high-performance computing and cloud platforms like GCP and Azure. He is comfortable moving prototypes to production, working with big data tools (Hadoop, Spark) and version-controlled engineering workflows. A not-obvious strength is his track record of translating advanced mathematical models into efficient, production-ready code for safety-critical engineering applications.
Contributions:2 PRs, 2 pushes, 3 branches in 3 years 3 months
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