Toronto, Canada
Software Engineer
Building data-driven software, exploring the world of Data Science.
About
I'm a software engineer who loves turning data into useful products. My work sits at the intersection of software engineering and data science — recommender systems, data mining, and the testing discipline that keeps it all reliable.
I hold a Master's in Computer Science (Data Science specialization) from Carleton University, Canada, where my research, supervised by Dr. Olga Baysal, applied Parallel Genetic Algorithms to recommend GitHub projects.
Having worked across Taiwan, Hong Kong, and Canada, I bring strong analytical, collaboration, and communication skills alongside the technical ones.
Work
Master's research using a Parallel Genetic Algorithm (PGA) to recommend GitHub projects by analyzing user interests and expertise, while parallelizing to reduce runtime and boost performance.
Project pageDiscovered correlations between human, environmental, and vehicle factors in road collisions to build predictive models using Pearson Correlation Analysis, Decision Trees, Naive Bayes, and KNN.
A prototype for customer feedback analysis built during a hackathon: Twitter data collection, sentiment analysis, and a PHP front-end for displaying results.
A content-based filtering approach that suggests suitable tasks and projects to newcomers on GitHub, lowering the barrier to first contributions.
A system that collects students' academic records and performance data to help professors organize and evaluate suitable candidates for future research projects.
A new recommendation framework aimed at resolving information overload and user fatigue in the film domain.
A mobile app that surfaces tourist attractions along the Hsinchu coastline and provides turn-by-turn directions using the Google Maps API.
Academic
Master's Thesis, Carleton University (supervised by Dr. Olga Baysal)
ICIM / iCIMKC
Resume
Download my resume for a complete overview of my experience and education.