Salman A.

MedSim.AI is an innovative platform providing AI-powered medical training to enhance clinical skills. It offers over 25 interactive modules, enabling users to practice diagnosing and treating a wide range of medical conditions through realistic, AI-simulated patient interactions. The platform provides real-time feedback, helping medical students and professionals refine their diagnostic, treatment, and patient communication skills in a low-risk environment. MedSim.AI integrates Retrieval-Augmented Generation (RAG) to ensure accuracy and reliability in its training simulations.

As a full-stack engineer, I contributed to the development of an advanced automated quality control and traceability solution that integrates image capture and AI throughout the manufacturing process. This cutting-edge platform enhanced product development, streamlined workflows, and significantly boosted yield efficiency. Key responsibilities included: - Developing robust APIs to enable seamless integration between image capture systems and AI-driven analysis tools. - Crafting intuitive frontend interfaces that supported sophisticated filtering and searching capabilities for captured images. - The creation of comprehensive automation test cases, ensuring system reliability and optimal performance. - Designing and implementing a thorough unit test suite for backend APIs to guarantee functionality, stability, and long-term scalability. My work on this project contributed to delivering a solution that not only improved operational efficiency but also empowered teams with real-time insights and data-driven decision-making capabilities. This experience honed my skills in API development, front-end design, automation testing, and building AI-integrated solutions.