Ildar Rakhmatulin

Fellow Generative AI

United Kingdom
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Summary

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Rockstar
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Top School
Ildar Rakhmatulin is a multidisciplinary hardware, software, and AI engineer focused on bridging neuroscience and technology through accessible brain-computer interfaces and biosignal processing. With a PhD in electronic engineering and six years of applied research experience at institutions including Imperial College, Heriot-Watt, and the University of Edinburgh’s Generative AI Lab, he builds end-to-end systems spanning embedded designs, ML-driven EEG classification, and wearables for sports. As founder of PiEEG and Miruns he champions low-cost, open-source BCI hardware and a community-driven Discord for neuroscientists, and his educational impact reaches nearly 10,000 Udemy students. His GitHub work ranges from ML-enabled machine vision for autonomous pest control to modular Raspberry Pi biosignal shields, reflecting a knack for translating academic ideas into practical, deployable prototypes.
code6 years of coding experience
job5 years of employment as a software developer
bookPhD - Doctor of Technical Sciences Electronic engineering, PhD - Doctor of Technical Sciences Electronic engineering at South Ural State University (SUSU)
languagesEnglish, Japanese, española, Russian
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Github Skills (7)

opencv10
deeplearning-ai10
deep-learning10
python10
raspberry-pi9
tensorflow7
keras7

Programming languages (6)

C++CHTMLGnuplotJupyter NotebookPython

Github contributions (5)

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Ildaron/Laser_control

Dec 2020 - Nov 2022

Laser for control mosquito, weed, and pest
Role in this project:
userML Engineer
Contributions:251 commits, 173 pushes, 6 comments in 1 year 11 months
Contributions summary:Ildar primarily contributes to the machine vision aspects of the repository, focusing on laser control for pest and weed control. The commits demonstrate expertise in integrating computer vision techniques, as seen in the YoloV4 implementation and color detection for object tracking. Key contributions include developing Python scripts to interface with hardware like DACs and cameras, indicating a focus on building an end-to-end system.
raspberry-pilaserdarknet-yolodeep-learningweed
Contributions:112 pushes, 1 branch in 3 years 1 month
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Ildar Rakhmatulin - Fellow Generative AI