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Computer Vision Engineer with 2+ years in object detection & generative AI
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Vision Engineer with expertise in object detection, image segmentation, and generative Al. Skilled in building real-time Al-powered vision systems using YOLO, OpenCV, PyTorch, and AWS. Proven experience deploying models on cloud and edge devices, with a strong foundation in Deep Learning, Transformers, Diffusion Models, and NLP. Demonstrated impact across agricultural tech (drone crop monitoring), medical imaging (breast cancer segmentation), and fashion Al (generative design).
Banha Faculty of Computer and AI
B.Sc. · Computer and Artificial Intelligence
September 1, 2020 – May 1, 2024
Egypt University of Informatics
Teaching Assistant
February 1, 2025 – Present
India
Digital Egypt Pioneers Initiative (DEPI)
AWS Machine Learning Intern
April 1, 2024 – October 1, 2024
India
Huawei
AI Intern
November 1, 2023 – December 1, 2023
India
Information Technology Institute (ITI)
Machine Learning Intern
July 1, 2023 – September 1, 2023
India
Fashion Image Generator
January 1, 2025 – March 1, 2025
Developed a fashion image generator using Stable Diffusion, enabling rapid photo-realistic clothing design prototyping via a Gradio interface. Reduced concept-to-prototype time by 35% as measured during internal design workflow testing. Validated output quality for real-world design applications through structured testing cycles.
Breast Cancer Segmentation
February 1, 2023 – March 1, 2023
Developed medical image segmentation model achieving 89% Dice score and 87% IoU on test data. Optimized model for precise identification of affected tissue regions, improving reliability for clinical-grade medical imaging.
Drone Crop Monitoring System
January 1, 2023 – May 1, 2024
Collected and prepared multi-source datasets for training YOLOv5 and YOLOv8, achieving 92 mAP with real-time detection at 25 FPS. Deployed system on Raspberry Pi with mobile app integration via Firebase for real-time predictions and remote result retrieval. Addressed early disease identification in crop leaves with robust handling of detection challenges.
View ProjectAWS Machine Learning
Digital Egypt Pioneers Initiative (DEPI)
January 1, 2024 – Present
Deep Learning Specialization
Huawei AI Training Program
January 1, 2023 – Present
Machine Learning Foundations
Information Technology Institute (ITI)
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project diversity (medical, agriculture, fashion) and experience in both academic and industry settings (internships at Huawei, DEPI, ITI) suggest an adaptable individual open to various challenges. The role as a Teaching Assistant indicates a collaborative and knowledge-sharing mindset. The breadth of skills across different AI domains (CV, NLP, Generative AI) aligns with a culture that values continuous learning and cross-functional expertise. However, the experience level (2 years) might indicate a need for more structured guidance in a senior role, which could impact immediate cultural integration into a highly autonomous senior team.
Soft Skills & Operational Fit
The candidate's experience as a Teaching Assistant suggests strong communication and pedagogical skills, which are valuable for explaining complex technical concepts and potentially mentoring junior team members. Project descriptions indicate an ability to work on end-to-end ML pipelines, from data preparation to deployment and optimization. The focus on real-world impact (e.g., reducing concept-to-prototype time, improving reliability for clinical imaging) demonstrates a results-oriented approach. However, without specific psychometric or English test scores, a deeper assessment of stress handling, logical reasoning, and team collaboration is not possible.