Presented By: University Career Center
Speaker Series: Dr Mark Jenne 2
Join our expert Dr. Mark Jenne as he discusses "Deployment of AI Solutions: A Case Study of Using Large Language Models in Enterprise Grade Software"
Register and join us and you could be in the running for a $50 Amazon Gift Card.
Mark is a Computer Scientist and AI/ML Engineer at Mantel Technologies with over half a decade of experience workingdirectly as a federal civilian scientist and as a technical sub-contractor for DoD sponsored artificial intelligence and machine learning (AI/ML) research initiatives. His interests span the gamut from theoretical problemsolving to building robust software products. This is demonstrated in hisdelivering state-of-the-art computer vision technology to visual sensing and tracking systems for the US Navy and providing residential real-estatecomparison and valuation models underpinning software as a service for automating property tax appeals, as two examples.
With a background in software engineering, Mark always seeks to build AI/ML solutions with long-term usability, scalability, maintenance, and sustainment in mind –ensuring their relevance and avoiding the pitfalls of “one-off” products or demonstrations. Through his Ph.D. in Computer Science, he gained the experience and fortitude needed to successfully navigate new or unsolved problems, further enhancing his engineering acumen. Mark has, thus far, made an academic and professional career taking theoretical problems and engineering solutions that deliver results.
Mark holds a B.S. in Computer Science and Software Engineering from Rose-Hulman Institute of Technology and a Ph.D. in Computer Science from Indiana University.
Register and join us and you could be in the running for a $50 Amazon Gift Card.
Mark is a Computer Scientist and AI/ML Engineer at Mantel Technologies with over half a decade of experience workingdirectly as a federal civilian scientist and as a technical sub-contractor for DoD sponsored artificial intelligence and machine learning (AI/ML) research initiatives. His interests span the gamut from theoretical problemsolving to building robust software products. This is demonstrated in hisdelivering state-of-the-art computer vision technology to visual sensing and tracking systems for the US Navy and providing residential real-estatecomparison and valuation models underpinning software as a service for automating property tax appeals, as two examples.
With a background in software engineering, Mark always seeks to build AI/ML solutions with long-term usability, scalability, maintenance, and sustainment in mind –ensuring their relevance and avoiding the pitfalls of “one-off” products or demonstrations. Through his Ph.D. in Computer Science, he gained the experience and fortitude needed to successfully navigate new or unsolved problems, further enhancing his engineering acumen. Mark has, thus far, made an academic and professional career taking theoretical problems and engineering solutions that deliver results.
Mark holds a B.S. in Computer Science and Software Engineering from Rose-Hulman Institute of Technology and a Ph.D. in Computer Science from Indiana University.
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