Research Assistant at Virginia Tech | MS in Computer Science
I’m a Computer Science master’s student at Virginia Tech with hands-on experience in full-stack development, machine learning, and LLMs. My background includes research in adversarial scam detection using fine-tuned LLaMA models and a multi-model voting system. Most recently, I interned with TSMC’s AI R&D team, where I deployed Qwen3 models on NVIDIA H100 GPUs and built agentic workflows that accelerated anomaly resolution for semiconductor manufacturing.
I’ve also built projects like an e-commerce platform with a real-time shopping cart system, an AI-powered recipe generator using OpenAI and Google Cloud APIs, and automation tools during my time at Shin Kong Financial Holding that drastically reduced manual processing time. I enjoy turning ideas into working systems and aim to bridge innovative research with real-world impact.
June 2025 - August 2025
August 2024 - May 2025
January 2023 - February 2023
September 2021 - May 2022
September 2021 - May 2022
2024 - 2026
Relevant Coursework: Software Engineering, Web Application Development, Database Management Systems
Research Position: Research Assistant (August 2024 - May 2025)
2019 - 2023
GPA: 3.77/4.0
Relevant Coursework: Data Structures, Algorithms, Database Systems, Operating Systems, Web Programming, Computer Networks, Machine Learning, AI, Deep Learning
Graduate Project: "A Q&A Platform with Automatic Post Review Based on NLP and Deep Learning" - Received Excellent Award