Gabriel Jai

Gabriel Jai has a diverse work experience. Gabriel started their career as a Production Engineer trainee at Ngai Hing Engineering plastic (Hong Kong) Ltd in 2014. In 2017, they worked as a Research Assistant in the Catalytic Process Engineering lab at McGill University, where they developed a new catalyst deposition method and co-authored a technical paper.

In 2018, Gabriel worked as a Strategy Corporate Development intern at fittcoach and as a Consultant at University Consulting Group (UCG), where they assisted non-profit organizations in developing change strategies and advised a Chinese women's organization on seeking growth opportunities.

Gabriel also worked as a Process Engineer at B.Data Solutions Inc. for a brief period in 2020. During this time, they gained experience in process engineering.

From 2020 to 2023, Gabriel worked at Flinks as a Data Scientist Intern and later as a Data Scientist. Gabriel'sresponsibilities included developing machine learning models, implementing MLOps pipelines, and pioneering the first ML pipeline for the data science team.

Most recently, Gabriel joined FutureFit AI in 2023 as a Senior Data Scientist.

Gabriel Jai's education history begins in 2014 when they enrolled at McGill University, where they pursued a Bachelor's Degree in Chemical Engineering. Gabriel remained at McGill for four years, completing their degree in 2018. Afterward, in 2018, Gabriel then moved on to the University of Toronto to further their studies. Gabriel joined the Master of Engineering program, specializing in Chemical Engineering. Gabriel concluded this program in 2019. From the provided information, it is clear that Gabriel Jai's educational background primarily focuses on Chemical Engineering.