John Pormann

John Pormann has a diverse work experience in the field of technology and computing. John worked as a Software Engineer at Penguin Computing since 2022. Prior to that, they held various roles at Duke University, including Head of IT Core Services, Adjunct Research Scientist, Head of Enterprise Services, Senior Research Technology Consultant, and Director of Scalable Computing. In these positions, they demonstrated strong leadership skills in managing teams and implementing new technologies. Additionally, they worked as a Senior Systems Software Developer at NVIDIA, where they developed software for the CUDA programming environment. Before that, they worked as a Contract Researcher at Batelle, modifying simulation systems for drug-interaction studies. John'searly career involved roles as a Senior Research Scientist at Duke University, where they provided user support for scientific computing and played a key role in maintaining a large-scale Linux cluster, and as a Senior Principal Analyst at Logicon/Northrop-Grumman, where they supported the NAVO Programming Environment and Training component.

John Pormann completed their education in electrical and computer engineering. John obtained a Ph.D. degree in Electrical Engineering from Duke University Pratt School of Engineering, which they pursued from 1996 to 1999. Prior to that, they earned a Master of Science (M.S.) degree in Electrical Engineering from the same institution between 1992 and 1996. John'sundergraduate education included a Bachelor of Engineering (B.E.) degree in Computer Engineering from Stevens Institute of Technology, which they completed from 1988 to 1992.

In addition to their formal education, John Pormann has obtained several certifications, demonstrating a commitment to continuous learning and professional development. These include certifications focused on AI product management from Coursera and several certifications related to Azure development from LinkedIn. Other certifications cover topics such as deep learning applications, neural networks, design patterns in Python, and Microsoft Power Platform foundations. John also completed courses on AI, NoSQL databases, networking, and the Elastic Stack.

It is important to note that no assumptions have been made about their career, work experience, or any other information not provided in the educational and certification history.