This platform is designed to support students in finding internships by intelligently matching their CVs with relevant opportunities. Using automated comparison of CV content against job attributes, it identifies the best-fitting positions and recommends them to the user. While its initial focus is on internships, the platform is built with scalability in mind, aiming to expand into a comprehensive career-matching tool for job seekers at all stages. By personalizing recommendations and streamlining the search process, it helps users discover opportunities that align with their skills, experience, and aspirations.

In this project, I designed cloud workflows in Azure ML to ensure seamless integration between the appropriate data and models. My work focused on building reliable model inference pipelines and managing data orchestration processes to support scalable and efficient machine learning operations.