George Gekov
Staff ML Engineer at Arm
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolGeorge Gekov is a Staff ML Engineer at Arm with 8 years of experience building embedded IoT and machine learning solutions for low-power, resource-constrained devices. He specializes in taking ML workloads from model selection through compilation to inference on Arm cores and NPUs, currently contributing to ExecuTorch to enable PyTorch-native compilation for low-power SoCs. George combines hands-on C++/Python development with deep systems profiling and customer engineering, helping partners diagnose performance bottlenecks and optimise ML stacks for new silicon. Earlier in his career he created over 20 IoT demos for high-profile trade shows, translating marketing use cases into technical roadmaps and public presentations. Trained in embedded systems and entrepreneurship at Pierre and Marie Curie and Cambridge Judge, he pairs technical depth with product-minded communication and multilingual collaboration. A pragmatic problem-solver, he often bridges the gap between applied ML models and the low-level engineering needed to run them efficiently on constrained hardware.
8 years of coding experience
7 years of employment as a software developer
Mathematics and Physics, Mathematics and Physics at Lycée Pierre De FermatMathematics Physics and General Engineering, Mathematics Physics and General Engineering at Lycée Louis-le-GrandMaster’s Degree Electronics and Computer Sciences - Embedded Systems, Master’s Degree Electronics and Computer Sciences - Embedded Systems at Pierre and Marie Curie UniversityMaster's degree Entrepreneurship/Entrepreneurial Studies, Master's degree Entrepreneurship/Entrepreneurial Studies at Cambridge Judge Business SchoolHigh School Mathematics and Computer Science, High School Mathematics and Computer Science at High School of Mathematcis 'Dr Petar Beron', Varna, Bulgaria
English, French, Bulgarian, Russian
Github Skills (43)
python10
machine-learning10
deep-learning10
embedded10
data-science9
mbed9
tensorflow9
gpu9
neural-network9
mobile9
internet9
operating-system8
deep-neural-networks8
kernel8
ml8
Programming languages (4)
Github contributions (5)
gggekov/executorch
Nov 2024 - Mar 2025
On-device AI across mobile, embedded and edge for PyTorch
Contributions:8 pushes, 4 branches in 3 months
gggekov/ML-examples
Nov 2021 - May 2023
Arm Machine Learning tutorials and examples
Contributions:4 pushes in 1 year 6 months
machine-learning-tutorialsneural-networkmachine-learningarm
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