Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am Mohamed Abdellatif, a Computer Vision Scientist/Engineer with a Ph.D. in intelligence technology. I have a strong background in algorithm and system development, with hands-on experience in Python and C++, AI model architecture development, and performance optimization. I am proficient in TensorFlow and PyTorch, and I have worked on SLAM, colour vision, illumination-invariant color recognition, Visual SLAM, and Lidar-based mapping and localisation. I am comfortable with ROS2 using OpenCV and established ML libraries, and I version-control code with GitHub, contributing across the full software development lifecycle from conception to deployment. Currently I am a Research and Development Engineer at Foodmate UK (Huddersfield) since 2023, where I built computer vision inspection systems for X-ray poultry images and hyperspectral yield measurement. My previous roles include leading localization and HD mapping work at Opteran Technologies and AIDrivers, developing synthetic test packages for evaluation, and building HD maps and pipelines for large outdoor areas. I have also conducted research and teaching at University of Leeds and Future University in Cairo, focusing on crack detection, visual SLAM, and autonomous robotics.…I am Mohamed Abdellatif, a Computer Vision Scientist/Engineer with a Ph.D. in intelligence technology. I have a strong background in algorithm and system development, with hands-on experience in Python and C++, AI model architecture development, and performance optimization. I am proficient in TensorFlow and PyTorch, and I have worked on SLAM, colour vision, illumination-invariant color recognition, Visual SLAM, and Lidar-based mapping and localisation. I am comfortable with ROS2 using OpenCV and established ML libraries, and I version-control code with GitHub, contributing across the full software development lifecycle from conception to deployment. Currently I am a Research and Development Engineer at Foodmate UK (Huddersfield) since 2023, where I built computer vision inspection systems for X-ray poultry images and hyperspectral yield measurement. My previous roles include leading localization and HD mapping work at Opteran Technologies and AIDrivers, developing synthetic test packages for evaluation, and building HD maps and pipelines for large outdoor areas. I have also conducted research and teaching at University of Leeds and Future University in Cairo, focusing on crack detection, visual SLAM, and autonomous robotics.

Mohamed Abdellatif

Data Scientist, AI Engineer, App Developer, +2





I am Mohamed Abdellatif, a Computer Vision Scientist/Engineer with a Ph.D. in intelligence technology. I have a strong background in algorithm and system development, with hands-on experience in Python and C++, AI model architecture development, and performance optimization. I am proficient in TensorFlow and PyTorch, and I have worked on SLAM, colour vision, illumination-invariant color recognition, Visual SLAM, and Lidar-based mapping and localisation. I am comfortable with ROS2 using OpenCV and established ML libraries, and I version-control code with GitHub, contributing across the full software development lifecycle from conception to deployment. Currently I am a Research and Development Engineer at Foodmate UK (Huddersfield) since 2023, where I built computer vision inspection systems for X-ray poultry images and hyperspectral yield measurement. My previous roles include leading localization and HD mapping work at Opteran Technologies and AIDrivers, developing synthetic test packages for evaluation, and building HD maps and pipelines for large outdoor areas. I have also conducted research and teaching at University of Leeds and Future University in Cairo, focusing on crack detection, visual SLAM, and autonomous robotics.…I am Mohamed Abdellatif, a Computer Vision Scientist/Engineer with a Ph.D. in intelligence technology. I have a strong background in algorithm and system development, with hands-on experience in Python and C++, AI model architecture development, and performance optimization. I am proficient in TensorFlow and PyTorch, and I have worked on SLAM, colour vision, illumination-invariant color recognition, Visual SLAM, and Lidar-based mapping and localisation. I am comfortable with ROS2 using OpenCV and established ML libraries, and I version-control code with GitHub, contributing across the full software development lifecycle from conception to deployment. Currently I am a Research and Development Engineer at Foodmate UK (Huddersfield) since 2023, where I built computer vision inspection systems for X-ray poultry images and hyperspectral yield measurement. My previous roles include leading localization and HD mapping work at Opteran Technologies and AIDrivers, developing synthetic test packages for evaluation, and building HD maps and pipelines for large outdoor areas. I have also conducted research and teaching at University of Leeds and Future University in Cairo, focusing on crack detection, visual SLAM, and autonomous robotics.

Available to hire

I am Mohamed Abdellatif, a Computer Vision Scientist/Engineer with a Ph.D. in intelligence technology. I have a strong background in algorithm and system development, with hands-on experience in Python and C++, AI model architecture development, and performance optimization. I am proficient in TensorFlow and PyTorch, and I have worked on SLAM, colour vision, illumination-invariant color recognition, Visual SLAM, and Lidar-based mapping and localisation. I am comfortable with ROS2 using OpenCV and established ML libraries, and I version-control code with GitHub, contributing across the full software development lifecycle from conception to deployment.

Currently I am a Research and Development Engineer at Foodmate UK (Huddersfield) since 2023, where I built computer vision inspection systems for X-ray poultry images and hyperspectral yield measurement. My previous roles include leading localization and HD mapping work at Opteran Technologies and AIDrivers, developing synthetic test packages for evaluation, and building HD maps and pipelines for large outdoor areas. I have also conducted research and teaching at University of Leeds and Future University in Cairo, focusing on crack detection, visual SLAM, and autonomous robotics.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Research and Development Engineer at Foodmate UK

January 1, 2023 - November 7, 2025

Developed and implemented computer vision inspection systems for chicken leg inspection in X-ray images using deep learning and Convolutional Neural Networks. Designed metrics and conducted experiments to assess knee location in X-ray images. Designed and evaluated systems related to yield measurement in hyperspectral images for poultry images.

Senior Research Engineer at Opteran Technologies

January 1, 2023 - January 1, 2023

Developed and implemented Cartesian localization algorithm using g2o for pose graph optimisation. Designed metrics and conducted experiments to assess localization quality. Created a synthetic test package for algorithm evaluation.

Senior Autonomy Scientist at AIDrivers Company Ltd.

January 1, 2022 - January 1, 2022

Led the design of HD mapping systems from Lidar point clouds, including lidars and cameras calibration. Developed algorithms to improve mapping quality and outdoor localization systems. Built deep learning frameworks for HD map building using RangeNet and PointNet networks. Designed a map server for large outdoor areas. Built lightweight maps with road marks replacing ground points and using it for precise localization.

Research Fellow, Robotics and Autonomous Systems at University of Leeds

January 1, 2020 - January 1, 2020

Designed algorithms for crack detection and visual SLAM for crack localization on roads in C++ and ROS environment. Developed deep learning systems for crack detection using CNNs. Implemented an oscillating camera system for improved edge detection. Designed crack detection system using hyperspectral cameras.

Professor – Department of Mechanical Engineering at Future University, Cairo

January 1, 2018 - January 1, 2018

Built an autonomous robot with decision-making capabilities using a camera for environment recognition. Designed a pipe inspection robot using visual information. Taught robotics and mechatronics courses.