Shayan Kousha

Shayan Kousha has a diverse work experience in the field of computer vision and machine learning. Shayan is currently working as a Computer Vision Engineer at Ecopia AI since May 2022. Prior to that, they served as a Machine Learning Research Intern at Samsung Electronics America from September 2021 to December 2021. Shayan also worked as a Machine Learning Engineer at Vector Institute from May 2021 to August 2021.

Before their role at Vector Institute, Shayan worked at Snaptravel as a Machine Learning Engineer from May 2019 to September 2020. In this role, they were involved in various projects such as developing and testing new bidding models, designing and implementing an NLP Question and Answer system, improving Q&A model accuracy, and automating finance processes. Shayan also developed internal tools to enhance the productivity of the customer service team.

Shayan's earlier experiences include working as an Undergraduate Research Intern at Vector Institute from September 2018 to April 2019, where they gained research experience in the field. Shayan also worked as a Software Engineer at Veeva Systems in the summer of 2018, where they developed UI features, implemented algorithms, and designed a new web application.

Additionally, Shayan served as an Undergraduate Research Intern at the University of Toronto in the summer of 2017, contributing to research projects. Prior to that, they worked as a Software Developer at ARnocular in the summer of 2016.

Overall, Shayan Kousha has demonstrated their expertise in computer vision, machine learning, and software development through their work experience at various companies and research institutes.

Shayan Kousha completed a Master of Science - MS degree in Computer Science from York University from 2020 to 2022. Prior to that, they obtained a Bachelor's Degree in Computer Science from the University of Toronto, where they studied from 2015 to 2019.