Youshaa Murhij
Computer Vision Engineer — Autonomous Driving
“I build perception systems that help machines understand the world.”
Download CVAbout Me
I’m a Senior Computer Vision Engineer and ML Researcher (PhD in AI & ML) specializing in L4 autonomy, camera-based 3D perception, and sensor fusion. Over the past few years, I’ve developed and deployed end-to-end perception pipelines used in autonomous vehicle platforms and real-time simulation environments.
My focus is on translating deep learning research into reliable, production-ready systems — from multi-camera 3D scene understanding to embedded AI optimization.
Key Achievements
- Delivered high-accuracy 3D object detection models for real-world driving scenarios.
- Led integration of multi-sensor fusion pipelines (camera, LiDAR, radar).
- Published peer-reviewed research and patented perception algorithms.
Technical Skills
Professional Experience
2023 - Present
Senior Computer Vision Engineer
Atom, Moscow, Russia
Responsible for developing and implementing advanced computer vision algorithms for autonomous systems. - Lead 3D perception module development for L4 autonomous driving stack. - Developed camera-based 3D detection and multi-view fusion models using PyTorch and CUDA. - Optimized inference for embedded deployment on NVIDIA Jetson platforms. - Collaborated with planning and control teams to improve perception-planning interface performance.
2022 - 2023
ML R&D Developer
Autonomics.Tech, Limassol, Cyprus
Focused on research and development of machine learning models for perception tasks in self-driving vehicles. - Designed multi-modal sensor fusion systems for autonomous sweeper robot. - Implemented and benchmarked object tracking algorithms for dynamic environments. - Worked on real-time data pipelines for driving scenarios using C++, Python, and ROS. - Supported field testing, dataset annotation automation, and perception stack integration. - Assisted in developing software packages for obstacle detection and trajectory prediction.
2021 - 2023
Self-driving Perception Systems Developer
IntegraNT, Moscow, Russia
Developed perception systems for autonomous vehicles, including sensor fusion and object detection. - Conducted research and implementation of computer vision and deep learning algorithms for intelligent robotic systems. - Developed end-to-end object detection and segmentation networks for real-time applications in robotics. - Implemented training pipelines and model optimization techniques for large-scale datasets using PyTorch. - Contributed to publications on 3D object detection and feature map flow networks. - Improved system inference efficiency by 30% through model pruning and CUDA-level optimization.
2020 - 2023
AI/CV Researcher
Cognitive Modeling Center, MIPT
Conducted research in artificial intelligence and computer vision, contributing to publications and projects. - Conducted PhD-level research on AI perception systems for autonomous driving and robotics. - Developed Lidar-based 3D object detection algorithms and occupancy-flow prediction models. - Published multiple papers and patents in computer vision and 3D perception. - Mentored graduate students and collaborated with research partners on applied AI projects.
Publications & Patents
Youshaa Murhij and Dmitry Yudin
Youshaa Murhij and Dmitry Yudin
Youshaa Murhij
A real-time software package for detecting moving objects and plotting their trajectories from point clouds on embedded systems, designed for ground-based mobile robots.
Youshaa Murhij
A software component using graph neural networks to predict nonlinear trajectories of dynamic obstacles, integrated with detection systems via ROS.
Youshaa Murhij and Dmitry Yudin
Youshaa Murhij and Dmitry Yudin
Youshaa Murhij and Dmitry Yudin
Youshaa Murhij and Vladimir Serebrenny
Youshaa Murhij and Vladimir Serebrenny
Youshaa Murhij and Vladimir Serebrenny
I. Hatem, M. Jamal, Youshaa Murhij and Z. Ali
Education
2020 - 2024
Ph.D. in Computer science
Moscow Institute of Physics and Technology, Moscow, Russia
Advisor: Prof. Dmitry Yudin, Grade: 10/10
2018 - 2020
M.S. with honors in Mechatronics and Robotics
Bauman Moscow State Technical Universty, Moscow, Russia
Advisor: Prof. Vladimir Serebrenny, Grade: 5/5
2017 - 2018
Preparatory Faculty Student
Moscow State University of Geodesy and Cartography, Moscow, Russia
2012 - 2017
B.E. with honors in Mechatronics, Robotics and Automation Engineering
Tishreen University, Latakia, Syria
Advisor: Prof. Iyad Hatem, Grade: 89/100
Training & Courses
2023
SMILES Summer School of machine learning
SMILES Summer School of machine learning, Belokurikha, Altai Krai, Russia2019/2021
RAAI Summer School for AI Attendee
RAAI Summer School for Artificial Intelligence, Moscow/Sochi, RussiaGet in Touch
Contact Information
Feel free to reach out via email or connect with me on social media. I'm always open to discussing new projects, creative ideas, or opportunities.