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HELLO
I'm
Samuel Leong
Computer Science Undergraduate
Part-time Interim CTO of Valdecott Aviation
Hello! I’m Samuel from the little red dot, Singapore. I’m currently in my penultimate year of my undergraduate degree, expecting to graduate in December 2023. Apart from studying, I managed and maintained a start-up website, founded by one of my close friend.
As an aspiring full stack developer/mobile engineer, I hone my skills through personal projects (see below) during my free time and participating in various hackathon with like-minded individuals.
An App that simplifies finding places to meet up with friends. Churning a list of suggestions and user can navigate to the chosen area with in-built google navigation API. Developed the app on Android Studio using Java. Contains other functionality including bus arrival timing and traffic incidents.
In the midst of COVID-19, it is hard for hawker business to thrive. This app retrieves user's location and displays near-by hawker places. The hawker data is scrapped from a Singapore local hawker recommendation Facebook community group, enabling the less-known hawkers to thrive.
Always wonder if a certain movie has a sequel by using dataset from TMDB. Going through the data retrieving and cleaning, exploring the data using charts, applying two machine learning model and compare the differences between the two.
An App that simplifies finding places to meet up with friends. Churning a list of suggestions and user can navigate to the chosen area with in-built google navigation API. Developed the app on Android Studio using Java. Contains other functionality including bus arrival timing and traffic incidents.
Roles: UI/UX, Backend Dev., Technical Writer
In the midst of COVID-19, it is hard for hawker business to thrive. This app retrieves user's location and displays near-by hawker places. The hawker data is scrapped from a Singapore local hawker recommendation Facebook community group, enabling the less-known hawkers to thrive.
Roles: UI/UX, Backend Dev., Technical Writer
Always wonder if a certain movie has a sequel by using dataset from TMDB. Going through the data retrieving and cleaning, exploring the data using charts, applying two machine learning model and compare the differences between the two.