About Me

Incoming Master’s student in Electrical and Computer Engineering at the University of Washington.

I recently graduated from The Hong Kong University of Science and Technology with Bachelor of Engineering in Computer Science and minor in Business.

I am particularly interested in Machine Learning Operations, AI Infrastructure, and the application of artificial intelligence in sports.

Professional Experience

Artifical Intellignence Engineer Intern @ D8AI Inc. (Oct. 2024 - Present)

Developed a Multi-Modal Retrieval-Augmented Generation (RAG) system with microservices architecture.
Built an advanced indexing pipeline for structured and unstructured data, leveraging OCR, layout analysis, Vision-Language Models (VLMs), and embedding models for vector databases.
Implemented the inference workflow, including retrieval, reranking, prompt engineering, and Llama integration.

Software Engineer Summer Analyst @ JPMorgan Chanse & Co. (Jun 2023. - Aug. 2023)

Developed a dashboard to improve data visibility, enhance decision-making, and provide a better user experience.
Improved trading chatbot features and leveraged sentiment analysis for news.
Designed an all-in-one application that integrates internal service for employee usage

Software Development Engineer Intern @ Trend Micro Inc. (Jul. 2022 - Aug. 2022)

Implemented a web crawler with REST API to collect data.
Developed a customer case support tracking model using Convolutional Neural Networks (CNNs) to improve troubleshooting efficiency with over 80% accuracy.
Deployed machine learning model on AWS EC2/ECR with Flask and Docker

Research Experience

Indoor Locationization AI system

Supervised by Prof. Gary Shueng Han CHAN

Conducted research on Data-Driven and Sensor Fusion approaches for estimating indoor position and orientation.
Implemented Recurrent Neural Network (RNN) to process and analyze IMU-based motion data.
Integrated Kalman Filter to mitigate drift effects and improve positioning accuracy by 78%.

Utilizing Large Language Models for News-Based Event-Driven Trading

Supervised by Prof. David Paul ROSSITER

Developed an automated pipeline for collecting news data and leveraging the GPT-3.5 model to forecast price movements and generate systematic trading strategies.
Built a web application using Flask that visualizes real-time price predictions and performance evaluation.
Conducted live trading for one month that outperformed market indices.

Education

University of Washington Master of Science in Electrical and Computer Engineering

Hong Kong University of Science and Technology Bachelor of Engineering in Computer Science, with Minor in Business

Awards: First Class Honors (Top 10%), Dean’s List * 3
Exchange Program: National University of Singapore - School of Computing
Relevant Courses: Artificial Intelligence / Search Engines for Web and Enterprise Data / Image Processing / Database Management Systems / Operating Systems / Design and Analysis of Algorithms
Activities and Societies: Google Developer Student Club – Technical Core Team Member / J.P. Morgan Code for Good – Champion / USThing – Quality Assurance Officer / Fintech Mentorship Program – Apprentice

Skills

Programming: Python, C++, JavaScript, SQL, MATLAB
Technologies/Frameworks: React, Flask, FastAPI, AWS, Docker, Git, MySQL, TensorFlow, PyTorch, LangChain
Languages: Mandarin (Native), English (Proficient)