Marina Kolpakova
PHD Student at Centre for Quantum Technologies
Singapore, Singapore
Summary
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Rockstar🎓
Top SchoolMarina 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
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (77)
transformers10
opencv10
recommendation-system10
python10
image-processing10
diffusion-models10
deep-learning10
gpu10
clang10
modular10
llm-inference10
ai10
generative-ai10
computer-vision10
nlp10
Programming languages (6)
Github contributions (5)
geexie/tpopt
Feb 2016 - Mar 2017
Contributions:14 commits, 18 pushes, 1 branch in 1 year 1 month
geexie/openvino
May 2020 - Jul 2021
OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
Contributions:3 PRs, 140 pushes, 28 branches in 1 year 1 month
pytorchdeep-learningdeploymentopenvino-toolkitinference
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