About Me
Applied AI Engineer with 5+ years of software engineering experience, including 2+ years building production-grade LLM systems with end-to-end ownership across retrieval, evaluation, and deployment. Focused on reliability and model performance in real-world environments, with experience integrating AI into distributed systems and mentoring engineers.
Projects
Pawkit (2024)
A mobile app that helps pet owners keep track of their pets’ health and wellness by providing a comprehensive platform for managing their pets’ medical records, appointments, and medication schedules. Available on both iOS and Android devices.
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
AI Engineer (Associate, Global Investment Research), October 2023 - Present
Nodal (tech consulting)
Tech Lead, March 2024 - November 2024
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 (legal technology startup)
Applied AI Intern (NLP), May 2019 - August 2019
Skilio
NLP Research Lead, February 2019 - August 2019
DSO National Laboratories
Machine Learning Intern (Deep Learning), 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 Boot), Python (FastAPI, Google ADK)
Databases
OpenSearch, MongoDB, MySQL, Amazon Aurora, PostgreSQL
Hobbies
Water Sports
Snorkeling/diving, surfing, and devouring seafood
Rogue-like video games
Obsessed with Hades, Dead Cells, and most recently, Shape of Dreams