Justin Van Heek
About Justin Van Heek
Justin Van Heek is a software developer with over five years of experience in producing robust software across various application domains. He has worked for the Government of Canada and has authored three publications on machine learning.
Work at Government of Canada
Justin Van Heek has held multiple positions as a Software Developer at the Government of Canada. His tenure began in 2018, where he worked for three months in Waterloo, Ontario. He returned to the Government of Canada in 2020 for another three-month period. Since 2021, he has been employed as a Software Developer, accumulating over three years of experience in this role. His work involves developing software solutions that meet the needs of government operations.
Education and Expertise
Justin Van Heek studied Computer Science at Trinity Western University, where he earned a Bachelor of Science degree from 2016 to 2021. His academic background has provided him with a strong foundation in software development and machine learning. He has authored three publications on machine learning, showcasing his expertise in this area. His educational experience complements his practical work in various software development roles.
Background
Justin Van Heek's career in software development spans over five years, during which he has gained experience in various roles. He began his career as a Cashier at Walmart Canada in 2015 before transitioning to software development. He worked as a Mobile Application Developer at the University of Waterloo for seven months in 2017 and held multiple research assistant positions at Trinity Western University from 2017 to 2020. His diverse background has equipped him with skills applicable to various software application domains.
Research Experience
Justin Van Heek has significant research experience, particularly at Trinity Western University. He served as a Research Assistant in 2017 for three months and again in 2018 for three months. He continued this role from 2019 to 2020 for one year. His research contributions have likely focused on software development and machine learning, aligning with his academic pursuits and professional interests.