I am a Computer Science and Mathematics student at DePauw University and I like to build stuff that will ease or solve my daily life problems. This website is a brief preview of what I have worked on in the past and my experiences working on these projects. Feel free to reach out to me if you have any questions or want to collaborate on a project.
Hi! I am Jade, Huy's personal AI assistant. How can I help you today?
Nov 11, 2024
Explore how RAG enhances AI models by improving information retrieval and response generation.
Read More →Mar 15, 2025
Learn the fundamentals of designing backend systems that scale effectively.
Read More →Dec 10, 2024
An overview of the most popular frontend frameworks and their use cases.
Read More →Summer 2024
Engineered, deployed, and maintained a full-stack web application on AWS cloud infrastructure, improving product scalability and enabling streamlined online service delivery.
Migrated 30GB of structured product data from Excel spreadsheets to AWS RDS PostgreSQL using custom ETL scripts and AWS DMS, boosting query performance by 40% and enabling real-time reporting.
Summer 2023
Implemented a two-factor authentication (2FA) system for the school’s E-Service Portal in collaboration with the cybersecurity team, mitigating authentication vulnerabilities and reducing exploitability from 80% to 20% in penetration tests
Developed and deployed web application firewalls (WAFs) to protect a server hosting up to 3,000 student accounts from SQL injection, cutting SQL injection vulnerabilities by 90% via real-time threat mitigation
Summer 2022
Built an interactive category filter UI in React, streamlining product navigation for 1,200+ items and increasing product engagement by 30% within four weeks of deployment.
Integrated Stripe API into the company’s application, enabling fast, secure transactions and improving the overall payment flow efficiency.



An intelligent, full-stack music recommendation system powered by NLP, OpenAI, and Spotify. This application dynamically suggests songs based on your emotional state—using machine learning, microservices, and real-time cloud infrastructure.
Feel free to reach out if you have any questions, ideas, or just want to say hi!