Hi, I'm Mohamed Hussein
Senior Autonomous Systems and Perception Engineer
Expert in Computer Vision, Sensor Fusion, Robotics, AI, Digital Transformation, LLMs, VLMs, and RAG Systems with +6 years of experience in both Research and Industry. I specialize in developing cutting-edge autonomous systems, perception engineering, and AI transformation solutions for real-world applications, from autonomous vehicles to medical imaging.
About Me
Passionate about pushing the boundaries of what's possible with machine learning and computer vision.
Professional Summary
I'm a Senior Autonomous Systems and Perception Engineer with +6 years of experience in both Research and Industry, specializing in computer vision, sensor fusion, robotics, AI, and digital transformation. I develop cutting-edge autonomous systems and perception solutions for real-world applications, from autonomous vehicles to medical imaging, using both traditional and deep learning methods with Python and C++.
My expertise spans the entire deep learning pipeline, encompassing data labeling, model training, validation, model optimization, dockerization and deploying scalable models (MLOPS). I'm also experienced in LLMs, Vision-Language Models (VLMs), RAG systems, and AI transformation for companies. I'm passionate about creating intelligent systems that can perceive and understand the world around us.
Experience
Computer Vision Engineer (Perception Team)
BOSCH
Romania
- Conducted research and developed advanced computer vision algorithms for autonomous railway systems
- Designed and implemented a multi-sensor perception kit using ROS2, tailored for trams and railway networks
- Developed a robust localization kit for autonomous vehicle applications, enhancing navigation and positioning accuracy
Computer Vision Engineer (Master Thesis)
Goodyear
Luxembourg
- Advanced Road surface classification for AV (Dry, Wet, Snow, Ice) and Accurate Road Friction Estimation
- Integrated Camera, Tire Sensor Data, and Vehicle Dynamics Information for enhanced accuracy
- Model tested and deployed successfully during Goodyear beyond tire event 2022
- Research selected for presentation at IPCV Conference in PPCU University, Hungary
Deep Learning Researcher
Zewail City of Science and Technology
Egypt
- Developed a state-of-the-art deep learning model for COVID-19 diagnosis from X-ray and CT scans
- Created a user-friendly website using JavaScript and TensorFlow.js for hosting and deploying the model
- Deployed the model on Google Cloud, demonstrating expertise in MLOps
- Actively contributed to the development of an autonomous social robot using ROS
Computer Vision Engineer (Freelance)
Upwork
Remote
- Developed tire tread depth estimation and OCR analysis systems
- Built facial and body animation using generative models and Deep fake for facial replacement
- Delivered high-quality computer vision solutions for various clients
Education
Master of Science in Image Processing and Computer Vision
University of Bordeaux - France
France • Sep 2022 • GPA: 4.36/5.0
Relevant Coursework:
Bachelor of Science in Mechatronics and Robotics Engineering
MUST University
Egypt • Sep 2018 • GPA: 3.61/4.0
Relevant Coursework:
ERASMUS+ Exchange Program
LBUS University
Romania • July 2017 • GPA: 4.0/4.0
Relevant Coursework:
Certifications
C++ Nanodegree (Udacity)
Sensor Fusion Engineer Nanodegree (Udacity)
Intel Edge AI Program
IBM Artificial Intelligence Analyst - Mastery Award
IBM Artificial Intelligence Analyst - Explorer Award
Kaggle Competition Winner (1st Place)
Publications & Speaking
Research contributions and speaking engagements in autonomous systems and computer vision
Publications
Multi-Modal Tracking Using LiDAR and Visual Signals
Authors: Mohamed Hussein (First Author)
Venue: IEEE (2024)
A comprehensive study on multi-modal tracking systems combining LiDAR and visual data for enhanced autonomous vehicle perception and tracking accuracy.
View PublicationSpeaking Engagements
Road Friction Coefficient Estimation using Machine Vision
SpeakerIPCV Alumni Workshop 2022
Presented thesis on Road Friction Coefficient Estimation using a fusion of machine vision, tire data, and vehicle dynamics.
Computer Vision Conference
Key-Note SpeakerITI Egypt
Presented computer vision in autonomous driving.
Projects
A showcase of my most impactful projects in computer vision, machine learning, and AI
Surgical Error Prevention – Computer Vision System
Developed a computer vision system to detect potential mistakes and ensure accuracy in surgical rooms. Implemented real-time monitoring and alert systems for enhanced patient safety.
Intelligent Tire Analysis – OCR & Vision-Language Model
Built a lightweight vision-language model (VLM) for tire OCR and automated tire condition analysis. Integrated advanced OCR techniques with computer vision for comprehensive tire inspection.
AR-Based Dental Positioning System
Applied computer vision and augmented reality (AR) techniques to enhance precision in dentistry applications. Developed real-time positioning and guidance systems for dental procedures.
Tire Safety Inspection – AI-Powered Depth & Text Recognition
Designed and implemented an AI-based system to measure tire tread depth from a single camera input and perform OCR on tire sidewall text. Achieved high accuracy in automated tire safety assessment.
Skills & Technologies
A comprehensive overview of my technical expertise and proficiency levels
Robotics & Autonomous Systems
LLM & AI Transformation
Computer Vision
Core Expertise & Advanced Technologies
Core Expertise
Advanced Technologies
Get In Touch
I'm always interested in new opportunities and exciting projects. Let's discuss how we can work together!