Michael Fernando Mendez Jimenez is a QA Engineer and Penetration Tester at AutoRoboto since January 2023. Prior experience includes serving as a Quality Assurance Analyst at Amazon Lab126 from May 2021 to December 2022, and participating in a data science challenge at Lawrence Livermore National Laboratory in June 2020, focusing on applying machine learning techniques to identify chemical compounds. Michael worked as an Undergraduate Researcher at the University of California, Merced under Professor Roummel Marcia, concentrating on image reconstruction with convolutional neural networks. Earlier contributions include leading a software development team at New Edge Developers for a mobile application addressing Basic Needs and tutoring mathematics for the East Side Union High School District. Michael holds a degree in Computer Science and Engineering from the University of California, Merced.
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