Thomas Shepherd
About Thomas Shepherd
Thomas Shepherd is a Sr. Software Engineer specializing in Machine Learning and Analytics at Tethr, where he has worked since 2014. He has a robust background in software engineering, having held various positions at companies such as GTX Corporation, Avaya, and Rainbow Studios, and holds a Ph.D. in Artificial Intelligence from Arizona State University.
Work at Tethr
Thomas Shepherd has been employed at Tethr since 2014, serving as a Senior Software Engineer specializing in Machine Learning and Analytics. In his role, he has played a key part in the design and implementation of technologies for speech analytics. He has also contributed to the development of Tethr's cloud-based conversation intelligence platform, which utilizes artificial intelligence and machine learning to extract insights from customer interactions.
Previous Employment History
Before joining Tethr, Thomas Shepherd held several positions in the software engineering field. He worked at GTX Corporation as a Product Engineering Manager and Software Engineer from 1993 to 1995. He then joined Avaya as a Software Engineer III from 2009 to 2013 in Mesa, Arizona. Additionally, he spent 13 years at Rainbow Studios, where he held roles including Lead Programmer for Xbox and Director of Motion Analysis from 1995 to 2008. His early career included a position as a Graduate Research Assistant at Arizona State University from 1988 to 1993.
Education and Expertise
Thomas Shepherd earned his Ph.D. in Artificial Intelligence and Pattern Recognition from Arizona State University, where he studied from 1988 to 1993. He also holds a Bachelor of Arts degree in Computer Science and Psychology from Iowa State University, completed between 1982 and 1988. His educational background has equipped him with a strong foundation in developing modular, object-oriented software focused on quality, performance, and flexibility.
Technical Skills and Contributions
Throughout his career, Thomas Shepherd has developed a robust skill set in software engineering, particularly in the areas of machine learning and analytics. He has been instrumental in creating technologies for speech analytics at Tethr and has a strong focus on maximizing software quality and performance. His contributions have significantly advanced Tethr's capabilities in deriving actionable insights from customer interactions.