Andy Terrel

AI Engineering Executive, Recovered Academic, @Korbit, former @NumFOCUS, REX Homes, @AnacondaInc

Dr. Andy R. Terrel is a prominent technical executive and machine learning expert currently serving as the Vice President of Machine Learning at Korbit Technologies Inc. His extensive background encompasses various leadership roles in technology and data science, showcasing a strong focus on machine learning and artificial intelligence.

Professional Background

Current Role: Dr. Terrel is the VP of Machine Learning at Korbit Technologies Inc., where he is likely involved in driving the company's machine learning initiatives and strategies.
Previous Experience:
- Principal Technical Product Manager at NVIDIA (September 2023 - Present): He leads product management efforts in machine learning technologies.
- Chief Technology Officer at StoryFit (April 2022 - Present): Here, he oversees product development for AI solutions in the entertainment industry.
- VP, Data and Algorithms at Xometry (2021 - 2022): He managed data systems and integrated acquisitions to enhance company operations.
- President of NumFOCUS Foundation (2013 - 2021): He played a crucial role in promoting open practices in research and scientific computing.
- Chief Data Scientist at REX - Real Estate Exchange, Inc. (2017 - 2021): He led marketing automation and data-driven decision-making initiatives.

Academic Background

Dr. Terrel holds a Ph.D. in Computer Science from the University of Chicago, where he focused on automation techniques for unstructured finite element methods. His academic work has contributed significantly to advancements in computational science.

Skills and Contributions

Machine Learning Expertise: He has developed and deployed numerous NLP models utilizing both traditional methods and deep learning techniques.
Leadership in Technology: Throughout his career, he has built cross-functional teams, managed technology integrations, and driven innovation in various organizations.

Dr. Terrel's work reflects a commitment to advancing machine learning applications across multiple sectors, particularly in enhancing user experiences through data-driven technologies.