About
As a software engineer student who moved from Vietnam to the United States in 2018, I thrive on pushing boundaries and embracing challenges. With expertise in programming, web development, machine learning, computer vision, LLMs, and data analysis, I'm passionate about using technology to solve complex problems and create impactful solutions. My dedication to technology extends beyond work through my home lab, where I experiment with new technologies and configurations. Constantly seeking new opportunities to innovate, I believe that true growth happens outside our comfort zones, fueling my drive to make meaningful contributions.
Work Experience
Skills
Programming Languages
Machine Learning
Frontend
Backend
DevOps
Others
Check out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
Healthcare Correspondence LLM
Utilized OCR, Chroma database, and LLama 2 LLM to process and store over 10,000 healthcare correspondence documents, resulting in a seamless data retrieval process for healthcare professionals. Implemented GPU-based inference on AWS to optimize LLM performance, decreasing response time from 2.5 minutes to 15 seconds and improving accuracy in answering user queries by 20%. Collaborated with team members to develop a user-friendly web
Brain Tumor Detection Using Deep Learning
Developed an ensemble of machine learning models (InceptionV3, ResNet, VGG) achieving 95.6% accuracy for MRI-based brain tumor detection. Developed and fine-tuned an ensemble model combining multiple classifiers, demonstrating the potential of ensemble techniques in enhancing diagnostic accuracy
Predicting Red Wine Quality from Chemical Properties using Machine Learning
Developed Python regression models for wine quality prediction, achieving 0.634 RMSE and identifying key quality drivers through analysis
I like building things
During my time in university, I attended 2+ hackathons. People from around the country would come together and build incredible things in 2-3 days. It was eye-opening to see the endless possibilities brought to life by a group of motivated and passionate individuals.
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HackUTD 2024 - Ripple Effect
Richardson, Texas
We develop solution for smart utility usage for building with machine learning and chatbot AI
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HackUTD 2023 - Golden Hour
Richardson, Texas
Built a real-time emotion detection model using CNNs to classify user emotions with 90% accuracy, applied in personalized music recommendations
Get in Touch
Want to chat? Just shoot me an email and I'll respond whenever I can. I will ignore all soliciting.