Dean Wampler

Dean Wampler has a wide range of work experience in various roles and companies. Dean is currently working at IBM as the Engineering Director for the watsonx Platform Engineering team. In this role, they lead the engineering team for IBM's new watsonx.ai platform for large-language models and other AI models.

Prior to their current role, Dean worked as the Product Engineering Director for Accelerated Discovery at IBM. Dean has also held roles at O'Reilly Media, where they worked as an Author and contributed to multiple books and essays on programming and data engineering.

Dean has experience in the technology industry, having worked at companies like Domino Data Lab, where they were a Principal Software Engineer, and Anyscale, where they served as the Head of Developer Relations and contributed to the development of the Ray technology.

Before that, Dean was at Lightbend, Inc., where they held various roles, including VP of Fast Data Engineering and Architect for Big Data Products and Services. Dean played a key role in creating the Lightbend Fast Data Platform and contributed to the strategy and development of their Big Data products and services.

Dean also has experience as a Consultant at Typesafe, where they helped clients build Reactive Applications using Scala, Java, Akka, Play, and other tools. Dean worked on developing the strategy for the Lightbend Fast Data Platform during this time.

Additionally, Dean has worked at Concurrent Thought as a Principal Consultant, providing consulting, mentoring, and training on "Big Data" technologies, and at Think Big Analytics as a Principal Consultant, where they specialized in architecting and implementing large-scale Data Science systems.

Earlier in their career, Dean worked as a Senior Software Engineer at DRW Trading Group and as a Senior Mentor at Object Mentor.

Overall, Dean Wampler has a diverse background in engineering, product management, and consulting, with expertise in areas such as AI models, Big Data, data engineering, and Reactive Applications.

Dean Wampler has a strong education background in the field of Physics. Dean obtained a Ph.D in Theoretical Nuclear Physics from the University of Washington, which they pursued from 1984 to 1989. Prior to this, they earned a Master of Science (M.S.) degree in Theoretical Nuclear Physics from the University of Virginia, completing their studies between 1982 and 1984. Dean'sundergraduate education was also at the University of Virginia, where they obtained a Bachelor of Science (B.S.) degree in Physics from 1978 to 1982.

In addition to their formal education, Dean Wampler has obtained several certifications in various fields. These include completing the "Neural Networks for Machine Learning" course and receiving certificates from the Coursera Course Certificates institution in December 2016. Dean also completed the "Machine Learning" course offered by Coursera in April 2015. Furthermore, they obtained certifications in various subjects such as "Dinosaur Paleobiology" (January 2015), "The Bible's Prehistory, Purpose, and Political Future" (July 2014), "Automata" (January 2014), "Principles of Reactive Programming" (January 2014), "Heterogeneous Parallel Programming" (November 2013), "Functional Programming Principles in Scala" (September 2013), "Algorithms: Design and Analysis, Part 2" (January 2013), and "Algorithms: Design and Analysis, Part 1" (July 2012). Prior to these, they completed the "Introduction to Artificial Intelligence" course offered by Udacity in December 2011 and obtained certification as a "Certified Cloudera hadoop Professional" from Cloudera, Inc. in June 2011. The completion of the "Algorithms: Design and Analysis, Part 2" course is also listed, but the specific month and year are not provided.