About

Melissa Stockman, PhD, is a highly skilled Senior Machine Learning Infrastructure Engineer with over 20 years of relevant experience in the computer software industry. Melissa's expertise lies in the areas of Computer Science, Machine Learning, Python, Java, and C. She holds a Doctor of Philosophy (Ph.D.) in Electrical and Computer Engineering from the American University of Beirut. Currently, Melissa works as a Senior Machine Learning Infrastructure Engineer at Grabango, where she leverages her extensive knowledge of ML, infrastructure, and software engineering to develop and maintain cutting-edge technology solutions. Prior to her role at Grabango, Melissa worked as a DevOps Software Engineer at Berkeley Lab and as a Data Scientist at Covance, where she was responsible for developing and implementing data-driven solutions to complex business problems. Melissa's education history includes a Ph.D. in Electrical and Computer Engineering from the American University of Beirut, a Master of Science in Computer Science from George Mason University, and a Bachelor of Arts in Mathematics from New York University. Melissa's technical skills include ML, infrastructure, software engineering, Python, Java, DevOps, and data science. She is a highly motivated and results-driven professional with a strong track record of delivering high-quality work on time and within budget. Melissa is passionate about using her expertise to help organizations develop innovative solutions that drive business growth and improve customer experiences.