FEEdme – CP2106 Independent Software Development Project (NUS Orbital)
May – Aug 2019
Designed and built a web-application using React for people in the same geographic location can find others to split the cost of food delivery or share promotion codes with.
Developed the chat-system component using the Chatkit API by Pusher, to allow customers to liaise with each other.
ReactJavaScriptschool-project
Ease Your Life at Halls (EYLAH)- CS2103T Software Engineering
Jan - Apr 2020
Built a CLI-based application using Java, targeted at hall residents with two major functionalities: Diet Tracker and Expense Splitter.
Led the development process of the Expense Splitter component following the OOP paradigm.
Wrote detailed User and Developer Guides for technical documentation of the application.
Followed the GitHub standard fork and Pull Request workflow to easily maintain our code.
JavaCLIschool-project
Bramble
Apr 2020
A simple API keys management application
Built a front-end application to manage API keys for different applications to gain experience using React.
Understood React state and lifecycle features and utilized Hooks to tap into its functionalities such as establishing the initial state, updating the list of API keys, deleting/creating API keys via function calls to the back-end server.
JavaScriptReactAPIpersonal-project
Relevant Experiences
Build On 2020 – stand.up
Aug – Sept 2020
Semi-Finalists
Front-End Lead. Designed the front-end using React and LESS.
Built a full-stack web-application from scratch to provide education materials to underserved communities.
Gained insight on AWS resources such as AWS CodeDeploy and Cognito.
ReactAWSJavaScripthackathon
LiquidHealth Pte Ltd.
Dec 2019
Migrated data from OpenCart to WooCommerce using Pandas.
Analyzed OpenCart codebase to understand how the columns map to form fields.
Explored WooCommerce API to understand required fields for import.
PythonPandas
Circles.Hack – CirclesLife Virtual Hackathon
Sept 2019
1 of 14 Finalists (Group)
Designed and built a financial-tracking application.
Learned about project ideation, product prototyping and pitching, as well as product scalability.
hackathon
Today I Learned (TIL) AI Camp – DSTA BrainHack
Jun 2019
Clinched 6th place out of >50 teams (Group)
Learned basic image classification using machine learning.
Trained an existing model to identify certain human poses and achieved a close to 70% accuracy.
Gained insight on the thought and development process of other top teams who competed.