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Shaun Quek

Shaun Quek

Software Engineer
Singapore

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About Shaun Quek:

I am an undergraduate at NUS, seeking to take on a Software Engineering internship. I have decent web development experience, but I'm also looking to expand into and specialise in algorithms, as well as artificial intelligence. 

Experience

Software Engineer
Singapore Physics League (SPhL)
2021 – Present
• SPhL is a team-based, online physics competition for students studying in a
Singapore secondary school or junior college (or equivalent)
• Built and maintained the competition platform front-end from scratch as part
of the founding team (HTML + CSS + jQuery)
• Led the development of ProCESS: a problem setting & reviewing web
application for the organising team (React + Node.js)

Teaching Assistant
National University of Singapore (NUS)
Jan 2023 – April 2023
• Part of the teaching team for CS2109S: Introduction to Artificial Intelligence
and Machine Learning
• Prepared tutorial worksheets and coding assignments (in Python), and taught
in tutorials

Software Engineer
Computing for Voluntary Welfare Organisations (CVWO)
May 2022 – August 2022
• CVWO is an initiative by NUS to build IT systems that help voluntary welfare
organisations serve the community more effectively
• Notable contributions include:
    * Improved user account activation for an existing web application, including a
       new mass user deactivation/reactivation feature (React + Rails)
    * A new system-level, administrative web application for personnel
management (React + Go)
• Gained experience interacting with clients, and responding to clients’ requests

 

Research Assistant
Ministry of Education Singapore
January 2021 – August 2021
• Created simple web-based educational games for primary school students
(Javascript)
• Developed an automatic email notification system using TagUI, a Robotic
Process Automation (RPA) tool

Education

National University of Singapore
August 2021 – May 2025
• Bachelor of Computing in Computer Science (under the Lim Hong Chin
Memorial Scholarship)
• Intended Focus Areas: Algorithms & Theory, Artificial Intelligence
• Cumulative Average Point (CAP): 4.96 / 5
• Multiple Dean’s Lists Awardee

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