MOHAMED BEN HASSEN

As a soon-to-be graduate in AI Engineering from Bahçeşehir University, I bring a dynamic skillset and an unwavering enthusiasm for making a positive impact. Throughout my journey, I've cultivated a strong foundation in problem-solving, effective communication, and leadership, which positions me as an adaptable and valuable asset for a wide range of roles.

• Built and Deployed a Web Application Using Azure: Embarked on a project to develop a web application on Azure, employing Flask as the web framework for its simplicity and flexibility. Docker was utilized to containerize the application, ensuring seamless deployment and portability. Cosmos DB served as the database solution, offering scalability and performance, while Azure Kubernetes Service (AKS) facilitated efficient orchestration and management of containerized applications, showcasing the power of modern technologies in driving innovation and efficiency.

• Development and Evaluation of a Machine Learning Lifecycle Management System using MLflow: Built a transformative project utilizing MLflow, Scikit-Learn, and TensorFlow to streamline ML model management. From experiment tracking to deployment and monitoring, I integrated these tools seamlessly, ensuring efficiency at every stage. By documenting methodologies and insights, I showcased the project's impact in enhancing the ML lifecycle, equipping myself with essential skills for real-world deployments.

• Worked on 2 kaggle projects, the Titanic - Machine Learning from Disaster and Binary Classification with a Tabular Stroke Prediction Dataset

• Pacman CS 188 fall 2022: Worked on project1 and project2 which taught me how exactly the pacman game works and how to implement various searching algorithms like DFS, BFS, A* search, Minimax, Alpha-Beta Pruning, Expectimax and how to optimize various parts of the code so that the pacman can be as fast and efficient as possible.