PhD Researcher (Computer Vision) at The Julius Maximilians University of Würzburg
Würzburg, Bavaria, Germany
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Summary
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Georgy Perevozchikov is a PhD researcher in computer vision at Julius Maximilians University of Würzburg with nine years of experience building research-driven CV systems and high‑load backends. He leads the Lacmus Foundation, contributes to open source, and has a track record of applying neural networks to satellite imagery, UAV‑based 3D reconstruction, and face‑recognition frameworks. His background blends deep academic training (MIPT, MAI) with hands‑on engineering across Python, C/C++, Go, WebAssembly and ML‑ops tooling like DVC/CML. Georgy has shipped production components—from WebAR neural inference and OpenCV porting to scalable GIS services—and has repeatedly ranked in programming competitions. Colleagues describe him as a researcher who still prefers to code, connecting experimental ideas to robust, deployable systems. A lesser‑known strength is his cross‑domain fluency: he moves smoothly between low‑level performance work (C++/Wasm) and cloud ML pipelines.
9 years of coding experience
7 years of employment as a software developer
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Moscow Institute of Physics and Technology (State University) (MIPT)
Bachelor's degree, Mathematics and Computer Science, First-Class Honour, Bachelor's degree, Mathematics and Computer Science, First-Class Honour at Moscow Aviation Institute (National Research University)
Bachelor's degree, Computer and Information Systems Security/Information Assurance, Excellent grades, Bachelor's degree, Computer and Information Systems Security/Information Assurance, Excellent grades at Immanuel Kant Baltic Federal University
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