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Liam S.

Machine Learning Engineer at Woven Planet Holdings

Liam S. has a diverse work experience spanning various industries. Liam currently works as a Machine Learning Engineer at Woven Planet since July 2022. Prior to this, from October 2019 to July 2022, they served as a Principal AI Researcher at Powder. Liam also worked as a Data Scientist specializing in Computer Vision and Deep Learning at PandaScore from October 2017 to September 2019. Liam gained valuable experience as a Machine Learning Specialist during their internship at Scyfer B.V. from February 2017 to August 2017. Prior to their career in the field of AI, Liam worked as an Econometrics Consultant for L.E.K. Consulting as well as a Consultant specializing in Economics and Econometrics for PwC Australia. Liam also contributed to Law in Order's data entry team, where they excelled in software development. Furthermore, they gained valuable experience as an intern at PwC Australia. Liam started their career at Switch Automation, where they provided technical and office support. Overall, Liam's work experience showcases their expertise in AI, econometrics, and software development.

Liam S. pursued their education chronologically, beginning with their high school years at Fort Street High School, which they attended from 2003 to 2008. After completing high school, Liam earned a Bachelor of Commerce (Liberal Studies) degree, specializing in Econometrics and Economics, from the University of Sydney from 2009 to 2013. During their undergraduate studies, they also took part in a study year abroad at the Rotterdam School of Management, Erasmus University, in 2011. Liam furthered their education by obtaining a Master's Degree in Artificial Intelligence from the University of Amsterdam between 2015 and 2017.

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