Hello, I'm Shannen.


About Me

Nanyang Technological University Computer Science Student

Graduated in December 2024!

I was a small business owner as well!

My online store sold curated secondhand clothing. I have also been interviewed by Lian He Zao Bao.


Education

Nanyang Technological University

Bachelor of Engineering (Computer Science)
Aug 2020 – Dec 2024

Elective Focuses: Artificial Intelligence and Data Science and Analytics

Boston University

Summer Exchange Programme
May 2023 – July 2023

Deep Learning and Design Strategy & Software


Work Experiences



AMARIS.AI Pte Ltd

Software Developer Intern
July 2022 - Dec 2022



• Utilised JavaScript and React for frontend development, and Python and FastAPI for backend development for an AI-powered web application

• Executed complex SQL queries using MariaDB to extract, manipulate, and analyse large volumes of data, resulting in more efficient and accurate data storage and retrieval processes, handled database migrations from development to staging environment

• Acquired knowledge in using Docker for application development, testing, and deployment, resulting in efficient and streamlined processes



View Recommendation Letter





Continental Automotive Singapore Pte Ltd

Software Engineer Intern
July 2023 - Dec 2023



• Led the development of a fleet management system for autonomous robots using Python and the ROS2 framework, leveraging Open Robotics' Middleware Framework (OpenRMF).

• Engineered RESTful APIs using FastAPI, aligning each endpoint with designated HTTP methods

• Developed a user-friendly workflow by developing a Tkinter Graphical User Interface, enhancing efficiency and overall user experience

• Applied Docker for deployment, boosting application portability and flexibility, facilitating a robust and scalable deployment process



DSO National Laboratories

Machine Learning Engineer Intern
July 2024 - Dec 2024



• Implemented a hierarchical reinforcement learning system using Python and PyTorch to manage and coordinate multiple autonomous agents in a simulated environment

• Applied advanced multi-agent reinforcement learning algorithms to improve the agents’ performance and coordination in achieving complex objectives

• Designed and tested various state, observation, and reward settings to optimise agent behaviour and evaluate the effectiveness of hierarchical versus non-hierarchical approaches





Projects



Showcasing some of my personal projects that I have done.







View more projects here:



Contact



Let's Connect!