Robin Lietar
About Robin Lietar
Robin Lietar is a Senior Software Engineer and Data Scientist currently working at Wagetap in Sydney, Australia. He has a strong background in machine learning and data science, with previous roles in consulting and teaching, and holds a Master's degree in Machine Learning and Big Data.
Work at Wagetap
Robin Lietar has been employed at Wagetap since 2022, serving as a Senior Software Engineer and Data Scientist. In this role, he applies his expertise in software development and data analysis to enhance Wagetap's technological capabilities. His contributions are integral to the company's operations in Sydney, Nouvelle-Galles du Sud, Australie.
Education and Expertise
Robin Lietar holds a Master of Machine Learning and Big Data (DAC) from Pierre and Marie Curie University, which he completed from 2016 to 2017. He also studied at Mines Paris, where he focused on Maths, Statistics, Computer Science, Machine Learning, Optimization, and Project Management, earning an Executive Engineering degree with a minor in Innovation and Entrepreneurship from 2013 to 2017. Additionally, he achieved a Baccalauréat in Scientifique from Lycée Fénelon, Grasse, from 2009 to 2011.
Professional Background
Robin Lietar has a diverse professional background in software engineering and data science. Prior to his current role at Wagetap, he worked as a Machine Learning Teacher at SUPINFO for five months in 2021. He has held various consulting positions, including a role at Research To Business for Crédit Impôt Recherche (CIR) in 2020 and as a Machine Learning Consultant at Keysquare in 2021. He also served as CTO at Le Kaba and co-founded Vegg'up, where he worked as Co-Founder CTO from 2017 to 2019.
Internship Experience
Robin Lietar gained valuable experience through several internships early in his career. He worked as a Data Scientist Intern at Funding Circle Deutschland GmbH in 2015 for five months and as a Research Intern in the Machine Learning Department at CSIRO in 2016 for six months. These internships provided him with practical skills in data science and machine learning.