Papa Ahmadou Seydou Sow

Engineering-focused company. Working on projects related to railway defect detection to improve safety and maintenance in railway systems. Developing computer vision solutions for automatic detection of railway-related defects. Using Roboflow for dataset annotation, management, and preprocessing. Training and optimizing deep learning models (YOLO) for object and defect detection. Evaluating and improving model performance (accuracy, precision, recall, inference speed). Collaborating with engineering teams to integrate AI-based solutions into real-world railway projects. Designed and developed a scalable web platform using React. Built reusable components, smooth navigation, and responsive design. Implemented a microservices architecture (authentication, content, users). Containerized services with Docker, deployed to production environments. Collaborated with product teams to integrate features such as learning tracking and recommendations.

Currently Web & Mobile Developer & AI Engineer, I combine my full-stack development and artificial intelligence skills to design high-performance and intelligent digital solutions.

I develop modern applications (Flutter, Vue.js, React, Node.js, Flask, Laravel) and integrate advanced AI functionalities (computer vision, NLP, prediction).

My role consists of:

• Designing and developing robust web and mobile applications

• Deploying secure and scalable APIs

• Implementing AI pipelines (classification, detection, prediction)

• Integrating complex data (weather, geospatial, images, etc.) into concrete solutions

Objective: to offer innovative, reliable, and scalable digital products that combine user experience and AI power.

Personalization & recommendation for educational technology. Designed an ML-based pedagogical recommendation module and built the full experimental + production stack (data pipeline, backend, deployment), bridging research prototypes and Human-Centered AI.