Firas Yazid

As a Full Stack AI Developer, I design and build modern, scalable web and mobile AI powered applications using React.js, React Native, Next.js, Node.js, and Python. I specialize in delivering end-to-end digital solutions with clean user interfaces, robust backend systems, and seamless user experiences. My experience spans across industries, with a strong focus on the healthcare sector, where I develop secure, user-friendly platforms that support patient care, medical data management, and digital health innovation. I also integrate Generative AI solutions to enhance applications with intelligent chatbots, automated workflows, predictive analytics, and personalized recommendations empowering businesses to leverage AI for efficiency, innovation, and scalability. Additionally, I work on intelligent systems that combine Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) and other advanced AI architectures to deliver context-aware, knowledge-driven solutions.

I design and develop high-performance, intuitive web and mobile applications using modern technologies. My expertise spans the full development stack, including: Front-End Development: Crafting responsive and dynamic user interfaces using React and Angular. Back-End Development: Building scalable and efficient server-side applications with Node.js and Spring Boot. Database Management: Designing and optimizing both MongoDB (NoSQL) and SQL databases to ensure performance, scalability, and reliability. Containerization & Deployment: Streamlining deployment using Docker for consistent and efficient delivery across environments. CI/CD Pipelines: Implementing automated workflows for Continuous Integration and Continuous Delivery to speed up development and deployment cycles.

Intelligent Health Mobile Application: Creating a smart mobile app that connects doctors, pharmacies, and patients, enabling seamless communication, symptom analysis, and medication tracking. Machine Learning for Healthcare: Developing advanced ML models for disease prediction, enhancing diagnostic accuracy and decision-making. Web-Based Disease Prediction Platform: Building a dedicated web application for healthcare specialists, providing real-time disease prediction insights and patient data analysis. CI/CD Implementation: Automating the development pipeline with CI/CD, ensuring smooth integration, deployment, and updates with minimal downtime.

I provide in-person university support courses for undergraduate computer science students, specifically in: - Programming - C Language - Java etc.

Development of a complete e-commerce platform using Angular for the front end, Node.js for the back end, and MongoDB for data management.

Development of a complete hotel booking platform using React for the front end and Node.js for the back end, ensuring a smooth user experience and robust functionalities.