- Designing and implementing computer vision algorithms for image and video analysis.- Pre-processing and analyzing large datasets of images and videos to extract meaningful insights.- Training and testing computer vision models for object detection, image classification, and segmentation.- Collecting and preprocessing large datasets to be used for machine learning models.- Integrating machine learning models into existing systems and applications.- Conducting research on emerging AI technologies and trends to identify opportunities to improve AI solutions.- Automating manual processes using scripting and automation tools to improve efficiency and productivity

- Supported the research of a PhD candidate in the development of a manufacturing process automation using Computer Vision and Artificial Intelligence.- Implemented and trained computer vision models for object detection and image classification using Matlab, Python, TensorFlow and PyTorch.- Performed data pre-processing and augmentation using Matlab and Python.- Evaluated model performance using metrics such as accuracy, precision, recall, and F1 score.- Wrote scripts to automate image processing tasks such as resize, flip or cropping images using Matlab and Python.- Developed computer vision algorithms to detect and track objects of interest in video streams using OpenCV.- Implemented machine learning models for object detection, tracking, and recognition from images/videos.- Built a real-time image processing pipeline that utilized deep learning techniques.- Designed and implemented novel approaches to challenging problems in computer vision research using filtering.

-Conducted system monitoring, checked for integrity and availability of all hardware, server resources, systems and key processes, and reviewed system and application logs.-Prepared, coordinated and supervised media editing rooms to offer ready-to-broadcast TV contents.-Managed the different servers for the edition of media contents including storage arrangement.-Developed and implemented backup and disaster recovery strategies to ensure business continuity in the event of a system failure.-Delivered expert advise for internal customers regarding the different back up applications (Masstech and TSM) on recording tapes.-Orchestrated and implemented upgrades and configuration of infrastructure systems, software and firmware patches and operating system upgrades as required.-Conducted research on emerging technologies to identify opportunities to improve IT infrastructure and systems.-Provided technical support to creative personnel (publishers, colorists, producers) throughout the end-to-end post-production process.-Created digital workspaces and users’ accounts to facilitate the media management process edited in the post-production department.-Troubleshot and resolved technical issues related to hardware, software, and network systems.-Collaborated with other IT professionals, such as developers and system administrators, to ensure the smooth operation of IT infrastructure.-Analyzed system performance and made recommendations for improvements to enhance efficiency and productivity.-Maintained documentation of IT systems and procedures.

-Monitored the company’s computer network using the Netrac Fault Management solution for national and international clients.-Maximized network performance by troubleshooting network problems and scheduling upgrades.-Identified and diagnosed network problems and resolved issues.-Developed and implemented network policies and procedures to ensure compliance with industry standards and regulations.-Collaborated with other IT professionals to design and implement network infrastructure solutions.-Automated network management tasks using scripting and automation tools to improve efficiency and productivity.