Aidar Faizrakhmanov
Head Of Vehicle Domain at ATOM
Shanghai, Shanghai, China
Summary
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Senior🎓
Top SchoolAidar Faizrakhmanov is a product and delivery leader with eight years of experience shaping software-defined EVs and connected vehicle ecosystems from Shanghai. As Head of Vehicle Domain at ATOM he runs end-to-end requirements, release and acceptance processes across HMI, solution architecture and delivery teams, turning complex HW+SW constraints into customer-facing features. He previously led ATOM’s operational concept and built the initial database of use cases and product requirements for a first-of-its-kind Russian connected car, blending agile and waterfall practices. An entrepreneur at heart, he co-founded unpackAI to deliver AI and blockchain education, scaling bootcamps to significant revenue while growing a remote mentor network. His background spans data-driven product work—building a GPT-3 investor-startup recommender and automated LinkedIn enrichment—to hands-on field engineering early in his career, giving him an uncommon mix of technical rigor and go-to-market pragmatism. He’s exploring how GitHub can be woven into AI education, signaling a continuing focus on tooling that accelerates learning and product adoption.
8 years of coding experience
5 years of employment as a software developer
Bachelor of technics and technology in Chemical Technology and Biotechnology, Chemical Technology of Natural Energy Sources and Carbon Materials, with honors, Bachelor of technics and technology in Chemical Technology and Biotechnology, Chemical Technology of Natural Energy Sources and Carbon Materials, with honors at Kazan National Research Technological UniversityMaster's degree, Petroleum Engineering, with honors, Master's degree, Petroleum Engineering, with honors at Kazan State University
English, Russian, Tatar, Chinese
Stackoverflow
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Github Skills (17)
coders9
unpack8
recommender8
multiclass-classification8
tabular8
get-started8
artificial-neural-networks7
computer-vision6
nlp6
natural-language-processing6
machine-learning6
python6
deep-learning5
artificial-intelligence5
data-science4
Programming languages (1)
Github contributions (5)
unpackAI/Ai101
Feb 2022 - Aug 2022
A program for non-coders to get started with machine learning development. The course contains flexible and powerful ML pipelines for computer vision, tabular, recommender systems and NLP problems
Contributions:86 commits, 77 pushes, 1 branch in 6 months
pythonproblemsnatural-language-processingml-pipelinesdata-science
faizer1989/AI_recipes
Mar 2022 - Sep 2022
Contributions:8 pushes, 1 branch in 6 months
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