Summary
Alexander Tereshin is a Geometry Processing Engineer with a PhD from Bournemouth University's NCCA and eight years of experience bridging academic research and industry in geometric modelling, 2D/3D image processing, and multi-material volumetric fabrication. He has developed hybrid volumetric representations, hierarchical eikonal solvers and space-time blending methods during his doctorate and translated that expertise into production pipelines for point cloud processing, photogrammetry automation and 3D generative AI at companies like M-XR and Atlas404. His work spans hands-on systems engineering—C++ performance optimization, scanner calibration, and synthetic data generation—to modern ML-driven pipelines including Gaussian splatting and LLM integrations for 3D validation. Notably, he combines deep theoretical insight with practical tooling for heterogeneous materials and neural implicit representations, a niche that informs both research publications and deployable geometry tooling. Based in the UK, he publishes his research and shares code via ResearchGate and GitHub, pairing a strong academic track record with applied product-focused delivery.
7 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Bournemouth University
Master's degree Engineering Physics/Applied Physics, Master's degree Engineering Physics/Applied Physics at Bauman Moscow State Technical University
English, German, Russian