Shahin Imtiaz
About Shahin Imtiaz
Shahin Imtiaz is a Senior Software Engineer at Vena Solutions and a Machine Learning Researcher at The Hospital for Sick Children, with a background in data engineering and business intelligence. He has previously worked as a Teaching Assistant at the University of Toronto and held editorial positions at Varsity Publications Inc.
Work at Vena Solutions
Shahin Imtiaz has been employed at Vena Solutions as a Senior Software Engineer since 2020. In this role, he has contributed to the integration of Vena's ETL product with commercial business intelligence tools. His work is part of the data insights team, where he focuses on bridging data engineering and business intelligence to create comprehensive data solutions.
Current Role at The Hospital for Sick Children
In addition to his position at Vena Solutions, Shahin Imtiaz has been working as a Machine Learning Researcher at The Hospital for Sick Children since 2020. His role involves applying machine learning techniques to support research initiatives, contributing to advancements in healthcare through data-driven methodologies.
Previous Experience as Teaching Assistant
Shahin Imtiaz served as a Teaching Assistant at the University of Toronto in 2018 for a duration of 11 months. In this capacity, he supported faculty members in delivering course content and assisted students in understanding complex concepts, enhancing the educational experience within the computer science department.
Background in Publications
Shahin Imtiaz worked at Varsity Publications Inc. as an Associate Editor from 2015 to 2016 and as a Staff Writer from 2015 to 2017. His roles involved content creation and editorial oversight, contributing to the publication's output in the Toronto, Canada area.
Education and Expertise
Shahin Imtiaz holds an Honors Bachelor's degree in Computer Science from the University of Toronto, where he graduated with high distinction. He possesses expertise in both front-end and back-end development, enabling him to enhance the functionality of data-driven applications effectively.