Matt D.

Matt D. has a diverse work experience spanning multiple companies and roles. Matt is currently the Chief Technology Officer at Rapta Inc, a position they have held since January 2022. Prior to this, they worked at BlackBerry as a Distinguished Architect from December 2020 to January 2022, and as a Principal Software Engineer from April 2019 to December 2020. Matt also served as a Principal Software Engineer at Cylance Inc. from February 2019 to April 2019.

Before joining BlackBerry and Cylance Inc., Matt D. founded and served as the Founder of Iotia Corp from May 2016 to February 2019. Matt also held the role of Chief Information Officer at Ring0 Technologies, Inc. from August 2014 to February 2019, and was a Co-Founder at Carbyne Solutions from August 2014 to May 2016.

Matt D.'s earlier experience includes working as a DevOps Engineer at Endgame from June 2013 to August 2014, and as a Vulnerability Researcher at ManTech International Corporation from November 2009 to June 2013.

Prior to their career in the tech industry, Matt D. served in the United States Air Force, where they held the positions of Communications Officer from November 2004 to November 2009, and Special Purpose Vehicle Mechanic from December 1998 to November 2004.

Matt D. obtained their Bachelor's degree in Computer Science from Troy University from 2000 to 2004. Matt then pursued a Master's degree in Information Technology Project Management from the University of Phoenix from 2004 to 2007.

In addition to their formal education, Matt D. has also obtained various certifications related to machine learning and deep learning. Matt completed the "Machine Learning Engineering for Production (MLOps) Specialization" from Coursera in November 2021. Prior to that, they completed the "TensorFlow: Advanced Techniques Specialization" in August 2021, the "Deep Learning Specialization" in June 2021, and the "Machine Learning Specialization" in February 2017. Matt also completed the "Neural Networks and Deep Learning" course in September 2017 and the "Machine Learning" course in May 2016, both offered by Coursera.