Yazan Murhij

Senior Computer Vision Engineer and AI Researcher with a PhD in Computer Science from MIPT. Experienced in deep learning, computer vision, perception, scene understanding, SLAM, robotics, and autonomous navigation. Build and deploy AI models and data pipelines for ground, aerial, and marine robotic systems.

Work across the full ML lifecycle, from data collection and annotation to model training, evaluation, and deployment. Focused on developing reliable vision-based solutions for autonomous systems operating in challenging and dynamic environments.

Senior Computer Vision Engineer at Rostselmash "Center for Advanced Technologies 'Agrotsifra'" LLC (2025-08 – Present)

RSM Agrotronic Pilot 2.0 — Autonomous Agricultural Vehicle Perception System.

• Developed semantic segmentation, object detection, and visual feature extraction algorithms for real-time perception and situational awareness of autonomous agricultural machinery.
• Built and processed vision datasets, including data collection, annotation, preprocessing, and augmentation for deep learning model training.

Senior Computer Vision Engineer (Part-time) at Moscow State University of Geodesy and Cartography (MIIGAiK) — Intelligent Spatial Data Processing Systems Laboratory (2023-08 – Present)

• Conducted research on real-time aerial mapping, mosaicing and segmentation utilizing SLAM and DNNs for Unmanned Aerial Vehicles.

CV/DL R&D Engineer at Moscow Institute of Physics and Technology (MIPT) — Laboratory of Special-Purpose Digital Systems (2021-09 – 2025-08)

• Autonomous Car: Perception, SLAM, and Navigation research.
• Unmanned Aerial Vehicle: Visual Place Recognition and Multispectral object detection.
• Unmanned Marine Vehicle: Visual Geolocation System in GNSS-Denied Environments.

Ph.D. in Computer Science – Moscow Institute of Physics and Technology (MIPT) (2021-09 – 2026-12)

M.S. in Mechatronics, Robotics, and Automation Engineering – Bauman Moscow State Technical University (2019-09 – 2021-08)