Summary
Sviatoslav Shekhanov is a Senior Software Developer with a PhD in computational science and 11 years of experience building performance-critical C++ and Python systems for scientific computing, embedded automotive software, and large-scale numerical simulations. He combines hands-on expertise in high-performance code, GPU-accelerated tensor operations (including a Metal-based fasttensor project), and physics-informed machine learning—evident from his minimalist nanograd and PINN repositories. At Digiteq Automotive he architects diagnostic gateway components and Bazel-based test infrastructure, while his research roles applied ML to laser‑plasma physics and presented results internationally. Comfortable spanning research and production, he often bridges domain physics with pragmatic tooling, scripting and CI automation to turn complex models into reliable, deployable systems.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Czech Technical University in Prague
English, Czech