Vithursan Thangarasa
About Vithursan Thangarasa
Vithursan Thangarasa is a Senior Research Scientist specializing in Machine Learning Algorithms at Cerebras Systems. He has extensive experience in the field, having worked at various organizations including Uber AI Labs, Tesla, and the Vector Institute.
Current Role at Cerebras Systems
Vithursan Thangarasa currently holds the position of Senior Research Scientist, Machine Learning Algorithms at Cerebras Systems. He has been in this role since 2022, contributing to the development of advanced machine learning algorithms. His work focuses on leveraging the capabilities of Cerebras' technology to enhance machine learning applications.
Previous Experience at Cerebras Systems
Prior to his current role, Vithursan Thangarasa worked at Cerebras Systems as a Machine Learning Research Engineer for four months in 2019. His responsibilities included researching and developing machine learning techniques that align with the company's innovative hardware solutions.
Education and Expertise
Vithursan Thangarasa earned a Master's of Applied Science (MASc) from the University of Guelph, completing his studies from 2017 to 2019. He also holds a Bachelor of Engineering (BEng) from the same institution, which he completed from 2012 to 2017. His academic background provides a strong foundation in engineering and applied science, particularly in machine learning.
Work Experience in Machine Learning and AI
Vithursan Thangarasa has extensive experience in machine learning and artificial intelligence. He worked as a Deep Learning Data Scientist at Scotiabank in 2016 for three months and as a Research Scientist at Uber AI Labs from 2018 to 2019 for three months. Additionally, he served as a Machine Learning Engineer focused on computer vision at Tesla for four months in 2018.
Teaching and Research Roles
In addition to his industry experience, Vithursan Thangarasa served as a Graduate Teaching Assistant at the University of Guelph from 2017 to 2019. This role involved supporting undergraduate students in their learning processes while also engaging in research activities at the Vector Institute as a Graduate Student Researcher in Machine Learning from 2017 to 2019.