Atsemegiorgis Tamirat

I have conducted research on the Extreme Learning Machine (ELM) model, focusing on its application in classifying soils as acid sulfate or non–acid sulfate. I have also explored integrating data obfuscation techniques to enhance privacy in federated learning systems. In parallel, I have worked as a Software Tester at UTest, performing manual, functional, localization, and regression testing across diverse software projects. I have hands-on experience with tools and platforms such as Git, GitHub, Python, AWS, Databricks, and Jira Cloud. I am very passionate about applying machine learning and AI technologies in industry. These experiences reflect my drive to learn new methodologies and tackle challenging problems at the intersection of software testing and AI.