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Schedule Interview NowMy name is Abdallah hosni A. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Deep Learning, Model Deployment, AI Development, Data Science. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I've worked on include: Dental X-Ray Image Processing using GANs and YOLOv5, AI-Based Hieroglyphic Detection and Translation (A-HDT) – HieroVision, Speech Emotion Recognition Using Deep Learning. I am based in Cairo, Egypt. I've successfully completed 3 projects while developing at Softaims.
I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.
My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.
Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today's highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.
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Developed a deep learning pipeline using GANs and YOLOv5 for dental panoramic X-ray analysis. GANs enhanced image quality and generated segmentation masks for teeth and surrounding structures. YOLOv5
Developed HieroVision, a mobile application powered by a Siamese Neural Network with SqueezeNet to detect, compare, and classify Egyptian hieroglyphs from user-uploaded images. The system returns the
Built a Speech Emotion Recognition (SER) system that classifies emotions (joy, sadness, anger, fear) from speech signals. Leveraged benchmark datasets (RAVDESS, TESS, SAVEE, CREMA-D) with audio prepro
Bachelor of Computer Science (BCompSc) in Artificial Intelligence
2021-01-01-2025-01-01