Exploring data to unlock delightful, real-world AI.
I’m a Machine Learning Engineer and Data Scientist passionate about building intelligent, human-centered systems that connect research with real-world impact.
I created EmotionFlow — a multimodal AI platform using LLMs, emotion recognition, and reinforcement learning for empathetic dialogue and real-time music recommendations.
Internship: developed a fine-grained nail disease classifier using ResNet18 and MobileNetV2, applied Grad-CAM interpretability, and improved minority-class F1 by 30%.
At Shopee, automated large-scale data pipelines and analytics workflows, improving evaluation efficiency by 80% and driving 25% higher engagement through data-driven insights.
I’m seeking opportunities to apply machine learning, data mining, and cloud deployment to build scalable, trustworthy AI systems — on GCP and beyond.
Python, R, SQL, Go
HTML, CSS, JavaScript, SAS
PyTorch, TensorFlow, Hugging Face
LangChain, LangGraph, Scikit-learn
GCP, Azure, Docker, Flask
Tableau, Excel, Git, Jupyter
Statistical Modeling, Predictive Analytics
Feature Engineering, Data Visualization
Machine Learning Engineer Intern
MyEdMaster
2025
Research AI Engineer Intern
Kashmir World Foundation
2025
Course Facilitator
University of Colorado Boulder
2024 – Present
Software Engineer
Shopee
2020–2021
Data Analyst Intern
Compal
2019–2020
EmotionFlow — Real-Time Recommendation
2025
NexCare — AI Healthcare Agent
2024
Suicide Prediction — Socioeconomic Analysis
2024
Uncovering Patterns in Fitness Data
2024
Online Shop Analysis
2022–2024
President
Taiwanese Student Association (TSA) at CU Boulder
2024 – Present
Jordan Job Platform (Hackathon)
2024