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Osama Sleem

@osamasleem

AI Engineer at ZAY Marketplace building production virtual try-on and visual search systems with computer vision and deep learning.

Egypt

Message

At ZAY Marketplace, I developed production computer vision systems for virtual try-on and visual search, and deployed scalable inference services with PyTorch, FastAPI, and Docker.

At DITC, I developed Arabic and Arabic–English speech recognition models optimized for CPU inference, reducing inference infrastructure costs by 80–90%. I also built machine-learning pipelines from audio preprocessing through production integration.

For my 3D orthodontic treatment-planning project, I developed a pipeline to predict tooth transformations, reducing manual aligner preparation time by 60%. I’m also pursuing a Master’s in Artificial Intelligence at Cairo university.

Experience

Work history, roles, and key accomplishments

Current

Co-Founder & AI Engineer

Current

ZAY Marketplace

Mar 2026 - Present (6 months)

Developed production Computer Vision systems including a diffusion-based Virtual Try-On pipeline and a Visual Search & Product Similarity engine. Designed and deployed scalable AI inference services using PyTorch, FastAPI, Docker, and GPU acceleration.

PyTorch fastAPI Docker Computer Vision Virtual Try On Visual Search Image Retrieval MLOps CI CD GPU Inference

Current

Computer Vision Instructor

Current

AI Coding Academy

Sep 2025 - Present (1 year)

Taught and mentored students in Deep Learning, Computer Vision, and 3D Modeling, guiding them to build and deploy real-world AI projects using PyTorch, TensorFlow, and OpenCV.

Deep Learning Computer Vision 3D Modeling PyTorch TensorFlow OpenCV

AI Engineer

DITC

Nov 2025 - Mar 2026 (4 months)

Developed and deployed Arabic and Arabic–English ASR models optimized for CPU inference, achieving ~25% WER on real-world conversational and code-switched speech. Reduced inference infrastructure costs by 80–90% by transitioning GPU-based ASR deployment to optimized CPU pipelines.

ASR CPU Only Inference Audio Preprocessing Tokenization Model Training Evaluation Production Integrations ML Pipelines

AI Intern

Dar Global

Sep 2024 - Nov 2024 (2 months)

Contributed to the fine-tuning of Stable Diffusion models to support automated real estate visualization, enhancing property presentation and client interaction. Assessed and recommended domain-specific AI tools across multiple business units.

Stable Diffusion Fine Tuning AI Tool Evaluation

AI Intern

Samsung Innovation Campus

Jul 2023 - Nov 2023 (4 months)

Demonstrated proficiency in supervised and unsupervised learning, object detection, image classification, and GANs, achieving 2nd place among AI interns. Executed end-to-end machine learning workflows, gaining hands-on experience in model training, evaluation, and deployment.

Supervised Learning Unsupervised Learning Object Detection Image Classification Gan Model Training Model Evaluation Model Deployment