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Schedule Interview NowMy name is Mostafa M. and I have over 1 year of experience in the tech industry. I specialize in the following technologies: Computer Vision, Deep Learning, Machine Learning Algorithm, Deep Neural Network, Convolutional Neural Network, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I've worked on include: Build and Deploy AI Models on Orange Pi for Real Time Applications, High Resolution Image Processing 500MB Image with Incredible Detail, Football Player Tracking, Customer Segments, License Plate Recognition. I am based in Cairo, Egypt. I've successfully completed 5 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
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Digital Hub
I have deployed and optimized AI models on Orange Pi devices for real-time applications such as object detection, people counting, pose estimation, and automation systems. The project includes: Settin
Successfully completed a one-time image processing project for client involving a high-resolution image file of 𝗮𝗽𝗽𝗿𝗼𝘅𝗶𝗺𝗮𝘁𝗲𝗹𝘆 𝟱𝟬𝟬 𝗠𝗕 The image contained and incredible levels of deta
I developed a robust object detection system designed to automatically detect football players, referees, and the ball with high accuracy from real match footage. I experimented with YOLOv8 initially
Implemented a customer segmentation model using K-Means clustering on an e-commerce transaction dataset to group customers based on purchasing behavior. Key features included purchase frequency, ave
I have developed an advanced OCR-based License Plate Recognition (LPR) system that accurately detects and extracts text from vehicle license plates in real time ✅ Real-time License Plate Detection –
Bachelor of Engineering (BEng) in Mechatronics Engineering
2017-01-01-2022-01-01