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Available for CDI & Pre-hiring Internship
Full-Stack Developer & AI Engineer with 4+ years of experience building scalable web applications and AI-powered solutions. Currently pursuing an M2 in AI & Data Management at ECE Paris, specializing in Computer Vision, Deep Learning, and modern full-stack architectures. Skilled in React, JavaScript, Django, Node.js, MongoDB, Python, PyTorch, and TensorFlow, with a passion for creating impactful digital products that combine strong engineering with intelligent systems.
I’m a Full-Stack Developer and AI Engineer originally from Morocco, now based in Paris, building the intersection between intelligent systems and production-grade software engineering. With more than 4 years of professional experience, I design and develop scalable applications, modern web platforms, and AI-driven solutions focused on real-world impact.
My journey began in 2018 at IBM, where I contributed to enterprise systems for BNP Paribas, developing internal management platforms and large-scale business applications. Since then, I’ve worked across multiple companies in Morocco and Europe, continuously evolving from traditional full-stack development into advanced AI and data-driven engineering.
Currently pursuing an M2 in AI & Data Management at ECE Paris, I specialize in Computer Vision, Deep Learning, and Real-Time AI systems. My recent work includes developing a live school violence detection platform powered by YOLOv8, MediaPipe, and SpeechBrain, combining video analysis, pose estimation, and audio intelligence into a unified real-time monitoring system. Beyond AI, I enjoy building modern full-stack products using React, JavaScript, Django, Node.js, MongoDB, and cloud-native tools — always focused on performance, clean architecture, and user experience.
Détection via upload fichier puis webcam live. Backend API en FastAPI avec YOLOv8 & OpenCV.
Dashboard admin pour pilotage de données avec composants Material UI, Data Grid et graphiques interactifs.
Clone UI type Netflix avec authentification Firebase.
Système RAG : récupération sémantique (vector search) + génération via LLM. Réponses basées sur des sources pour une meilleure précision et traçabilité.
Chatbot IA basé sur Hugging Face Transformers avec mémoire contextuelle et interface CLI.
Open to CDI, pre-hiring internships, and interesting engineering challenges. Let's connect and build something that matters.
khattabi.akram@gmail.com