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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

AI Engineer, Data Scientist, AI Developer, +3

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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.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Beginner

Beginner

Beginner

Beginner

Beginner

Beginner

Beginner

Beginner

Beginner

Beginner

Beginner

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.