AI Developer · MLE / Full-stack Data Scientist · Python Developer · AI & ML
I'm an AI Engineer and Data Scientist passionate about building intelligent systems — from recommendation engines and reinforcement learning agents to data-driven web applications.
I love working at the intersection of research and engineering, turning cutting-edge ML ideas into production-ready systems. Currently focused on LLMs, scalable ML pipelines, and cloud-native data infrastructure.
AI-powered app designed to help kids learn through play. Fully funded by Cyberport Creative Micro Fund (CCMF), Hong Kong.
Original research and implementation on Federated Learning — distributed ML training across decentralized devices without sharing raw data.
Reinforcement learning agent that learns to play Blackjack optimally using classic RL algorithms. Part of the SDSC 6007 coursework.
Collaborative filtering and content-based recommendation engine built from scratch in Python/Jupyter.
A web application for flight planning built with Python — handles routing, scheduling, and data lookup.
NLP-based classifier that predicts product ratings from text reviews using machine learning techniques.
Interactive data visualization dashboard built with R Markdown — showcasing analytical storytelling with real datasets.
RL agent learning to play Blackjack optimally — watch the policy evolve in real time.
Research on federated learning — distributed machine learning across decentralized devices while preserving data privacy.
Machine LearningA recommendation system leveraging multimodal feature encoders to improve item representation and personalisation accuracy.
Recommendation SystemsTraining an RL agent to play Blackjack optimally using classic reinforcement learning algorithms and policy evaluation.
Reinforcement LearningApplying AI and machine learning solutions in a financial services consulting context.
Building an AI-powered app to help kids learn. Fully funded by Cyberport Creative Micro Fund (CCMF). learn2play.app →
AI & ML · MLOps — building and deploying machine learning models across the region.
NLP & ML — built language models and ML pipelines alongside API development.
Geocoding and location analysis — reporting, data analysis, and spatial data workflows.
Designed online courses and vector arts using Articulate 360, WordPress, and Adobe Creative Cloud.
Currently preparing for the GCP Professional Machine Learning Engineer certification exam.