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Abdalrhman K. — Mid-Level Computer Vision and AI Engineer from Egypt

Abdalrhman K.

Mid-Level Computer Vision and AI Engineer

Egypt 2-3 years
Open to offersNew to Platform
Languages
EnglishArabic
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About

Abdalrhman K. is a proficient Computer Vision & AI Engineer and seasoned Backend Team Leader with extensive experience in developing and managing sophisticated AI-driven systems. A graduate of South Valley University from the Faculty of Computers and Information, he excels in architecting solutions such as advanced Virtual Try-On systems and elaborate wildlife monitoring applications. At Digithup, he leads a team of developers, focusing on system architecture and backend infrastructure for diverse platforms including e-commerce and real estate management systems. He has successfully engineered high-performance systems like the Aqsar App, Ydoob Platform, and QuickCar App, catering to large audiences and complex operational requirements. His technical expertise spans the use of Python, Django, and Angular frameworks, as well as advanced ML/DL libraries such as PyTorch and TensorFlow. Abdalrhman is proficient in both Arabic and English, optimizing applications to enhance user experience and operational efficiency.

Experience

  • Backend Team Leader

    Digithup · 2025 — Present
    Mentored a team of software developers to ensure efficient execution of projects and timely delivery of high-quality software solutions. Managed system architecture and backend infrastructure, distributing technical tasks and maintaining operational scalability. Led code review processes and enforced best practices to ensure clean, maintainable, and secure code across all projects.

  • Wildlife Tracking & Alert System Engineer

    Nagarahole Reserve
    Developed an AI-powered system for individual leopard/tiger identification using YOLO, collaborating with researchers focused on wildlife conservation. Designed a multi-class Classification System to categorize wildlife species accurately. Established a real-time Camera Trap integration network for continuous tracking and behavioral analysis of animals within the conservation area. Created a Real-time Alert System for notifying authorities of threats or anomalous wildlife events and processed a dataset of 80,000+ images for model training and validation.

  • Virtual Try-On Developer

    WearCast
    Engineered an advanced VTO pipeline utilizing HR-VITON and IDM-VTON architectures, addressing issues of Ghosting and Color Contamination with mathematical algorithms and Context Nullification techniques. Reduced image processing time by ~40% through model optimization and efficient batching strategies, and built the user-facing Frontend application with Angular. Developed a Hybrid Recommendation Engine combining Matrix Factorization and K-Nearest Neighbors for personalized product suggestions.

  • Computer Vision Model Developer

    Hair & Skin Semantic Segmentation
    Created and trained precise Computer Vision models for pixel-level Semantic Segmentation of hair and skin regions, facilitating advanced applications in cosmetics and dermatology.

  • ALPR Engineer

    Iraqi Automatic License Plate Recognition
    Developed a multi-model AI system for the detection, segmentation, and recognition of Iraqi license plates, accommodating Arabic, Hindi, and English character sets.

  • Healthcare Management System Developer

    Healthcare Management System
    Constructed the backend architecture for a medical system that encompasses nursing care modules, patient electronic health records (EHR), and clinical workflow management.

Skills & Expertise

AI and Data ScienceAI EngineerSoftware and Mobile DevelopmentBackend DeveloperComputer Vision Engineer

Education

  • Bachelor's Degree in Computer Science
    South Valley University · — — 2026