Vicki Boykis

Vicki Boykis is a Senior Machine Learning Engineer at Mozilla.ai, where she focuses on building open and trustworthy AI systems. She joined Mozilla.ai in October 2023, bringing extensive experience in developing resilient machine learning systems at scale. Prior to her current role, she worked at Duo Security and Automattic, where she contributed to improving machine learning platforms and recommendation systems for users on platforms like Tumblr and WordPress.com.

Education and Early Career

Vicki holds a degree from Temple University and has been actively involved in the field of data science and machine learning since at least 2011. Her career began at Comcast as a Senior Business Intelligence Analyst, where she analyzed data to inform product development decisions.

Professional Experience

• Senior Machine Learning Engineer at Mozilla.ai (October 2023 - Present)
• Senior Machine Learning Engineer at Duo Security (August 2022 - October 2023)
• Machine Learning Engineer at Automattic (June 2020 - July 2022)
• Data Scientist at eMoney Advisor (May 2014 - January 2016)

In addition to her engineering roles, Vicki has served on the Business Analytics Advisory Council at Drexel University's LeBow College of Business, providing insights on analytics trends and curriculum alignment with industry needs.

Skills and Contributions

Vicki's technical expertise includes Python, R, SQL, and various data visualization and machine learning libraries. She has also contributed to the community by teaching SQL to aspiring developers through programs like Girl Develop It. Her work often emphasizes the importance of data fidelity and innovative approaches to machine learning challenges, as evidenced by her recent writings and presentations on the evolving landscape of machine learning systems.1