About Me
Software engineer passionate about building impactful, scalable, quality software, with a focus on delivering value through technology. Experienced in developing ML techniques and AI-driven products to solve complex problems in cyber defence, legal services, mental health support, and most recently, investment research.
Projects
Dr Watson (2020)
A prototype smart evacuation and rescue system that leverages data from WiFi, CCTVs and sound sensors to locate crowds, identify trapped or vulnerable occupants, compute optimal escape routes and provide real-time visualization of vital information for quick and effective decision-making by rescuers. React front end and Flask back end, hosted on AWS and IBM Cloud. 1st Prize @ the SCDF X IBM - Lifesavers' Innovation Challenge: Call For Code 2020.
Your Own Learning Adventure (2020)
High-fidelity prototype of YOLA, a platform designed to enable effective learning for students and fuss-free tracking of their child’s learning for parents. Created with Figma.
Law Enforcement Vehicle Location Optimization (2019)
An algorithm for recommending effective deployment locations for police emergency response cars which achieved the lowest response failure rates for both normal and high demand evaluation cases. Flask web app served on Heroku. Awarded Best Performing Team.
Crowd Evacuation Simulation (2019)
An agent-based simulation to discover factors which significantly impede crowd evacuation and the extent of human stampede impact on survival using Netlogo.
Terra Matter Waste Management (2018)
A mobile app for users to earn cash on the side while helping to save the earth by selling their recyclables. Available on both iOS and Android devices.
Research
Plugin to a Healthier Life: A Web Browser Plugin for Mental Health Monitoring (2019)
A Chrome extension that aims to push relevant mental health content, by tracking the fluctuations of the users' daily moods, searches, and work schedules. The poster paper for this project was accepted to the 2019 IEEE International Conference on Big Data.
Data Mining Approach to the Detection of Suicide in Social Media: A Case Study of Singapore (2018)
An NLP project focused on the social phenomenon of suicide. Relevant posts and comments on Reddit were scraped and analyzed using Python to better understand different aspects of human life that relate to suicide. The poster paper for this project was accepted to the 2018 IEEE International Conference on Big Data.
Experience
Goldman Sachs
Machine Learning Engineer (Associate, Global Investment Research), October 2023 - Present
Goldman Sachs
Software Engineer (Associate, Global Investment Research), January 2023 - September 2023
Goldman Sachs
Software Engineer (Analyst, Global Investment Research), August 2020 - December 2022
INTELLLEX & SGInnovate
Junior Data Scientist & Summation Apprentice, May 2019 - August 2019
Skilio
Pioneer, February 2019 - August 2019
DSO National Laboratories
Cyber Analytics Research Intern, May 2018 - August 2018
Singapore Management University
Teaching Assistant & Student Assistant, May 2017 - April 2019
Education
Singapore Management University
BSc in Information Systems & Analytics, summa cum laude, August 2016 - June 2020
The University of Edinburgh
International Student Exchange Programme, September 2019 - December 2019
University of Oxford
Exeter College Summer Programme, July 2017 - August 2017
Skills
Languages & Frameworks
Java, Spring, Python,, PyTorch, Django, Flask, Clojure, Ruby
Databases
MongoDB, MySQL, Amazon Aurora, PostgreSQL
Other
Git, Amazon Web Services (AWS), Microservices, Apache Kafka, GraphQL
Hobbies
Water Sports
Snorkelling/diving 🤿, surfing 🏄♀️, and ...eating fish 😋
Roguelike Videogames
Obsessed with Hades 🔱 and Dead Cells 🎮