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Tristan Frizza's work experience includes a variety of roles in the fields of finance, machine learning, and robotics. Tristan is the Founder of Zeta Markets, where they contribute to bringing high speed futures trading to the DeFi sector. Prior to this, they worked at Atlassian as a Machine Learning Scientist and an Associate Data Scientist, focusing on applying machine learning techniques to improve customer-product interactions. Tristan also worked at Nearmap as an AI Researcher, conducting research on Generative Adversarial Networks (GANs) for aerial image super-resolution. Tristan has experience as a Machine Learning Engineer at Lumaway, where they researched and developed advanced language understanding models. Additionally, Tristan gained research experience as a Robotics Research Intern at the Australian Centre for Field Robotics (ACFR), working on software development for an autonomous vehicle using C and Python. Tristan has also participated in entrepreneurial activities, winning the ASES Startup Pitch Competition and being selected as a delegate for the Stanford Asia-Pacific Student Entrepreneurship Summit. Overall, Tristan has a strong background in machine learning, robotics, and entrepreneurship.

Tristan Frizza earned a Bachelor's Degree in Mechatronic Engineering and Advanced Science (Physics/Computer Science) with Honours Class I from the University of Sydney. Tristan attended the University from 2015 to 2019. In 2019, they also attended Stanford University as an Asia-Pacific Student Entrepreneurship Summit (ASES) Delegate, focusing on Entrepreneurship/Entrepreneurial Studies. Prior to their university studies, Tristan attended Sydney Grammar School from 2005 to 2014, where they completed their high school education with a focus on subjects such as English, Math Extension, Physics, Chemistry, German, and Visual Arts.

Tristan has also obtained several certifications to enhance their knowledge and skills in the field. This includes certifications such as "Spark for Machine Learning & AI" from LinkedIn in February 2020, "Deep Reinforcement Learning Nanodegree" from Udacity in February 2019, "Practical Deep Learning for Coders" from fast.ai in December 2018, "PH125.1x: Data Science: R Basics" from edX in July 2018, "Google Cloud Platform Fundamentals: Core Infrastructure" from Google in February 2018, "Using Databases with Python" from Coursera in February 2018, "Neural Networks and Deep Learning" from Coursera in January 2018, "Python Data Structures" from Coursera in July 2017, "Using Python to Access Web Data" from Coursera in July 2017, and "Programming for Everybody (Getting Started with Python)" from Coursera in June 2017.