As a Machine Learning Engineer Intern, I had the opportunity to work with cutting-edge AI technologies, specifically within the Azure cloud ecosystem. My role involved leveraging Microsoft's Azure cloud tools to design, develop, and deploy machine learning models that addressed real-world challenges.I was responsible for studying and implementing advanced machine learning algorithms, enhancing existing products through AI, and creating customized solutions for automated reasoning, decision-making, and optimization. My work encompassed the entire machine learning pipeline, from data preprocessing and feature engineering to model training, evaluation, and deployment.Throughout the internship, I collaborated closely with cross-functional teams, ensuring that the AI models were seamlessly integrated into the cloud environment for scalable and efficient performance. My experience with Azure's suite of cloud tools, including Azure Machine Learning, Azure Databricks, and Azure DevOps, enabled me to deploy robust machine learning solutions that met the initiative's goals and contributed to the broader AI objectives of Microsoft in the region.

As a Python Coding and AI Instructor for middle school students, I was responsible for delivering engaging lesson plans tailored to young learners. I introduced students to the fundamentals of Python programming, guiding them through basic concepts such as variables, loops, and functions.In addition to coding, I introduced students to the exciting world of Artificial Intelligence. I simplified complex AI concepts, making them accessible and interesting for middle school students. This included teaching basic machine learning principles, demonstrating how AI can be applied in everyday life, and guiding students through hands-on projects such as creating simple chatbots or image recognition systems.