Summary
Marina Kolpakova is a compiler and performance engineering specialist with 14 years of production experience spanning deep learning, computer vision and embedded VPUs, now pursuing a PhD in Quantum Computing at NUS. She has driven compiler architecture and code-generation work at Intel—authoring novel fusion techniques and xbyak-based codegens for OpenVINO—and led optimization efforts that matched or exceeded native library performance on constrained hardware. Equally comfortable in low-level C/C++/assembly and high-level system design, she has a track record of teaching LLVM-based compilation courses and delivering hands-on workshops for global audiences. Based in Singapore, she blends academic rigor with pragmatic engineering, and describes herself playfully as "a quantum girl in her quantum world," hinting at an instinct for finding elegant structure where complexity converges.
14 years of coding experience
9 years of employment as a software developer
Master’s Degree, Computer Science, Master’s Degree, Computer Science at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
Doctor of Philosophy - PhD, Quantum Computing, Doctor of Philosophy - PhD, Quantum Computing at National University of Singapore
English, Russian