I’m Arystan Sabir, a Budapest-based Autonomous Vehicle Control Engineer focused on bridging hardware design and machine learning for robust autonomous systems. I graduated MSc in Autonomous Vehicle Control Engineering at Budapest University of Technology and Economics, with hands-on experience at ARM and the Automated Drive Lab. I enjoy applying ML to hardware workflows and ADAS research.

Arystan Sabir

I’m Arystan Sabir, a Budapest-based Autonomous Vehicle Control Engineer focused on bridging hardware design and machine learning for robust autonomous systems. I graduated MSc in Autonomous Vehicle Control Engineering at Budapest University of Technology and Economics, with hands-on experience at ARM and the Automated Drive Lab. I enjoy applying ML to hardware workflows and ADAS research.

Available to hire

I’m Arystan Sabir, a Budapest-based Autonomous Vehicle Control Engineer focused on bridging hardware design and machine learning for robust autonomous systems.

I graduated MSc in Autonomous Vehicle Control Engineering at Budapest University of Technology and Economics, with hands-on experience at ARM and the Automated Drive Lab. I enjoy applying ML to hardware workflows and ADAS research.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Beginner
Beginner
Beginner
Beginner
Beginner
Beginner
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Beginner
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Language

English
Advanced
Kazakh
Fluent
Russian
Fluent

Work Experience

Hardware Design Intern at ARM
January 1, 2025 - October 16, 2025
Gained hands-on experience in digital hardware design and industry-standard EDA tools. Investigated AI integration for debugging pipelines and workflow enhancement in hardware design. Pursued a research project enhancing the hardware design workflow with machine learning techniques.
Research Assistant at Automated Drive Lab
January 1, 2025 - October 16, 2025
Orchestrated deep learning models for semantic keypoint detection in autonomous perception task. Created and annotated both synthetic and real-world datasets to support robust perception model training. Supported ADAS research with a focus on improving keypoint tracking and detection robustness in real-world driving scenarios.

Education

Master of Science in Autonomous Vehicle Control Engineering at Budapest University of Technology and Economics
September 1, 2023 - June 1, 2025
Bachelor of Engineering in Electrical and Computer Engineering at Nazarbayev University
August 1, 2019 - June 1, 2023

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Transportation & Logistics, Manufacturing