The Person
Behind the Code
I'm currently studying Information Systems at Singapore Management University, specializing in Artificial Intelligence and Business Analytics.
Alongside my focus on AI, I have a strong foundation in full-stack development, enabling me to bridge the gap between data-driven insights and user-centric applications.
My goal is to grow as a Machine Learning Engineer with a strong software engineering foundation, creating intelligent systems that empower users and drive transformative change.
Frontend
Javascript
HTML
CSS
React
VUE
WordPressBackend
PHP
Python
MySQL
BigQuery
Docker
AWS
Azure
Kubernetes
Kong
MongoDBML / AI
Tableau
Pytorch
TensorFlow
Pandas
Scikit-learn
RWhere I've
Made Impact
Jan 2026
Jan 2026
Algorithm Engineer Intern
TikTokCurrently working as an Algorithm Engineer Intern at TikTok. Details and contributions will be updated as the internship progresses.
- Details coming soon — stay tuned for updates on my work and contributions.
May 2025
May 2025
Data Science Intern
KPMGWorked in KPMG's Forensic Team optimizing and deploying machine learning pipelines for forensic data analysis.
- Redesigned feature engineering pipeline using Pandas vectorization — reduced processing from 5 minutes to 5 seconds (98% improvement)
- Developed and trained a Generative Adversarial Network (GAN) to generate synthetic datasets, yielding 10% accuracy increase
- Containerized ML models using Docker and deployed on Microsoft Azure with Terraform IaC
JavascriptHTMLCSSReactPythonMySQLDockerAzurePandasScikit-learnSep 2024
Sep 2024
Research Intern
SMART M3SWorking with Team 4/5 of SMART M3S, focusing on AI-driven solutions for urban mobility, economic growth, and human-machine collaboration.
- Building NLP extraction pipelines to analyze global firms' annual reports and extract key research metrics
- Conducted spatiotemporal analytics on GPS mobility data using KMeans clustering to identify commuter profiles
- Detected patterns in Points of Interest using Apriori and Edit-Distance metrics
- Supporting academic research on mobility behavior and sustainable city planning
PythonPytorchTensorFlowPandasScikit-learnJul 2024
Jul 2024
Software Engineer Intern
EngageNovaDeveloped an end-to-end MVP counseling platform named AImpathy, integrating multi-modal deep learning pipelines to provide actionable insights from therapy sessions.
- Designed a scalable video ingestion pipeline using AWS S3 for storage and AWS SQS for event-driven processing
- Engineered a Transformer-based multi-modal system combining Whisper ASR for speech transcription and custom models for emotional analysis
- Containerized ML models using Docker and deployed on AWS ECS for scalable performance
- Leveraged OpenCV for preprocessing visual cues from recorded sessions
JavascriptHTMLCSSWordPressPHPPythonDockerAWSPytorchTensorFlowPandasScikit-learnSelected
Works
ESGeePeeTee
Developed during Nomura AI Hackathon 2024, ESGeePeeTee is an ESG analysis tool that incorporates real-time news data from GDELT with AutoGluon, an automated multi-layered stack-ensembling ML library. It allows for a powerful, unbiased, and accurate ESG score prediction capabilities.
- Javascript
- HTML
- CSS
- React
- Python
- TensorFlow
- Pandas
- Scikit-learn
CrowdSight
Developed for Ellipsis X HST Tech Series Hackathon 2024, CrowdSight is a prototype that enables event organizers to model their event locations and use CCTV footage to visualize crowd density along predetermined exit routes.
- Javascript
- HTML
- CSS
- React
- Python
- Pytorch
- TensorFlow
- Pandas
- Scikit-learn
NUS Rightship Hackathon 2025
Developed an AI-driven solution to reduce subjectivity in PSC severity scores using Generative AI and AutoML, securing 1st place at the Maritime Hackathon 2025.
- Python
- Pandas
Let's
Connect
Feel free to reach out! I'd love to hear about innovative and challenging opportunities.