Bosen Qu

Software Developer @ Squarepoint Capital

About Bosen Qu

Bosen Qu is a software developer currently employed at Squarepoint Capital in Montreal, Quebec, Canada. He holds a Bachelor of Mathematics in Computer Science from the University of Waterloo and has experience in enhancing web platforms and QA monitoring systems.

Work at Squarepoint Capital

Bosen Qu has been employed as a Software Developer at Squarepoint Capital since 2023. Located in Montreal, Quebec, Canada, Qu's role involves developing and maintaining software solutions that support the firm's trading operations. Previously, Qu worked at Squarepoint Capital in 2022 for three months, contributing to various software development projects.

Education and Expertise

Bosen Qu studied Computer Science at the University of Waterloo, where he earned a Bachelor of Mathematics from 2018 to 2022. This educational background provided Qu with a solid foundation in software development principles and practices, equipping him with the skills necessary for his roles in various organizations.

Background

Before joining Squarepoint Capital, Bosen Qu gained experience in the software development field through various positions. He worked as a Software Developer at Eidos-Montréal for three months in 2020, as a Test Automation Developer at Ford Motor Company for three months in the same year, and as a Software Engineer at Autonomic for three months in 2022. These roles contributed to his technical expertise and understanding of software development processes.

Achievements

Bosen Qu has successfully recreated a web platform that manages over 500 monthly erroneous trades, resulting in an 80% improvement in page load time, a 50% reduction in API calls, and a 66% increase in asynchronous requests. Additionally, he extended the functionality of a QA monitoring platform to enable remote control constraints, which enhanced security and video management, ultimately reducing storage costs. Qu also improved performance on pipelines syncing over 700 Grafana configurations by implementing deep comparison and copying algorithms.

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