Tony Moriarty
About Tony Moriarty
Tony Moriarty serves as the VP of Data Science and Co-Founder at Deckard Technologies in Sydney, Australia, where he has worked since 2018. He holds a Master's in Data Science and has a strong background in machine learning, model deployment, and data analysis.
Work at Deckard Technologies
Tony Moriarty serves as the Vice President of Data Science and Co-Founder at Deckard Technologies, a position he has held since 2018. Based in Sydney, New South Wales, Australia, he has contributed to the company's focus on data-driven solutions. His role involves overseeing data science initiatives and leveraging his expertise in machine learning and data analysis to drive innovation within the organization.
Education and Expertise
Tony Moriarty holds a Master's degree in Data Science from the University of Sydney, where he studied from 2016 to 2019. He achieved notable academic success, including first place in 'Machine Learning' and 'Statistical Natural Language Processing,' earning a spot on the Academic Honour Roll for two consecutive years. He also earned a Bachelor of Engineering in Computer Systems Engineering with first-class honors from The University of Queensland from 2001 to 2006. His expertise includes deploying machine learning models using AWS services and specializing in semi-supervised learning techniques.
Background
Before co-founding Deckard Technologies, Tony Moriarty worked at Qualcomm for eight years, first as a Senior Staff Engineer from 2010 to 2015 and then as a Senior Staff Machine Learning Engineer from 2015 to 2018. His experience at Qualcomm involved advanced engineering roles focused on machine learning applications. Additionally, he briefly served as an Engineering Tutor at the University of Queensland in 2006.
Achievements
Tony Moriarty's academic achievements include recognition for his thesis, which utilized big data techniques and geospatial analysis to predict crime rates using Twitter data. His contributions to the field of data science are underscored by his extensive experience in model containment and deployment, particularly using Docker and modeldb, as well as his proficiency in integrating and cleaning complex datasets.