Hire the Best Computer Vision Engineers
in Morocco

As Computer Vision R&D Engineer at Endoscopy and Computer Vision Lab, where I contributed to projects focused on medical image analysis and AI solutions. This experience allowed me to work with real-world medical data and develop practical pipelines used in research and experimentation. My strengths include building end-to-end pipelines for medical image preprocessing, segmentation, and classification. I work with volumetric data (3D scans), ROI extraction, and mask alignment, ensuring clean workflows. I regularly implement and adapt state-of-the-art methods from research papers, and I am experienced in reproducing experiments and evaluating models. I hold a Master’s degree in Advanced Machine Learning and multimedia intelligence and focus on delivering reliable, well-structured solutions for AI applications. What I can do: - Preprocess medical images (DICOM, NIfTI, ROI extraction, normalization) - Build deep learning models for segmentation and classification (U-Net, CNNs) - Develop 3D pipelines for volumetric data - Evaluating models using appropriate metrics for computer vision tasks

I fix the 3 reasons why Computer Vision models fail in production: high latency, brittle lighting changes, and massive cloud hosting bills. Instead of deploying heavy, over-engineered academic frameworks that slow down your system, I build lightweight, high-velocity Python engines using OpenCV, PyTorch, and YOLO optimized specifically for real-world visual data. What I deliver: • Custom Object Detection & Real-Time Tracking • Zero-Lag Video Stream & Image Preprocessing • Production-Ready Deployments via Docker If you have a messy dataset, an unstable video stream, or a model that is eating up too much hardware compute, send me the details. I build vision systems that work under real constraints.

AI Engineer with 3+ years building production-grade computer vision and ML systems — and 5+ years of software engineering behind that. I specialize in real-time video inference, GPU-accelerated model deployment, and end-to-end MLOps pipelines. At OCP's AI R&D Lab (Mohammed VI Polytechnic University), I led projects like EpiVision — an HSE safety detection system achieving 95%+ accuracy across live camera feeds — and CoreStream, a multi-camera video platform processing 50+ concurrent streams using NVIDIA Triton and DeepStream. I've deployed models at sub-100ms inference latency in production industrial environments. More recently, I've been building CoreVision (open-source, under Apollume Labs), a production-grade real-time video analytics platform with GPU acceleration, dynamic pipeline orchestration, and multi-camera batching. I also built OrbitChatApp — a full-stack geolocation-based chat app deployed on DigitalOcean with WebSocket real-time messaging. On the AI curriculum side, I've been a Senior AI Engineer at 01Edu since 2024, architecting 10+ math and ML projects and a Python AI bootcamp that improved student completion rates by 40%. I work best on projects where performance, reliability, and scale actually matter — not just getting something to run in a notebook. Stack: Computer Vision · PyTorch · OpenCV · YOLO · NVIDIA Triton · DeepStream · CUDA · Python · FastAPI · Docker · Linux · PostgreSQL · WebSocket

I build AI systems that solve hard, real-world problems. Recently I developed a dual-camera computer vision system that analyzes bodybuilding exercise form in real time, tracking body keypoints, scoring movement quality frame by frame, and delivering actionable feedback through a clean interface. The client came back with more work. That's the standard I hold myself to. My focus is on the intersection of AI and practical engineering: → Computer vision and pose estimation systems → Machine learning model development and deployment → LLM integration and AI-powered applications → Python backends and data pipelines → End-to-end delivery, from model to working product I have an engineering degree and a strong foundation in mathematics and algorithms. I don't just run pre-built models. I understand what's happening inside them, which means I can debug, optimize, and adapt when things get complicated. I work with clients who have problems that are a step beyond what a typical developer can handle. If that's you, let's talk.

I'm a certified AWS Machine Learning Engineer with a strong foundation in AI, machine learning, and data science, having completed numerous successful projects ranging from complex workflows to real-time analysis systems. My technical expertise includes Python programming, deep learning frameworks, machine learning libraries, and cloud deployment platforms, allowing me to build efficient data-driven solutions from model development to cloud deployment. As a Kaggle Expert, I bring competitive problem-solving abilities to deliver impactful results across various domains including LLMs, computer vision, and data engineering

I'm a PhD in computer vision. I can do both research and engineering of machine or computer vision systems. I have developped two machine vision systems for defect detection and and size measurement of products or components. I can leverage traditional image processing, machine learning, and advanced deep learning to create robust and efficient solutions. In terms of research, I have published various papers at top conferences and journals. I volonteer as a scientific reviewer and teaching computer vision on my YouTube channel. My latest experience is implementing a modern object tracker published in a top journal from scratch, then adapting it to 360° videos using advanced geomtrical projection. Please refer to my portfolio, YouTube, and Google Scholar account for more details.