Hello, I'm
Minh Nhat Doan
CS Student & Aspiring Full Stack Developer.
What I do
I'm a senior Computer Science student focused on full stack development and software engineering. I enjoy building scalable web applications, learning new technologies, and collaborating in team environments. Outside of school and coding, I explore creativity through photography.
Completed Projects
Tools & Frameworks
Code Commits
Combination of Education and Experience
Golden West College
2020 - 2023Cal Poly Pomona
2023 - 2026Innity
Summer 2023ASI CPP
2024 - PresentMetropolitan Water District
2025 - PresentCal Poly Pomona
2025 - PresentMy recent projects
Tech Stack: React, TypeScript, Node.js, Express, OpenAI DALL-E, Tailwind CSS, PostgreSQL, Vite
Developed a full-stack AI image editing platform that enables users to transform and enhance photos using natural language prompts. Implemented AI-powered image generation and editing with OpenAI's DALL-E, and built a responsive frontend with React and Tailwind CSS. The application features real-time previews, edit history, and a user-friendly interface for seamless image manipulation. Deployed with performance optimizations for efficient AI processing on cloud infrastructure.
Tech Stack: Flutter, Firebase, Python, Flask, MediaPipe, OpenCV (CV2)
Developed a cross-platform fitness app using Flutter that allows users to upload workout photos and receive real-time feedback on their form. Implemented pose detection using MediaPipe and OpenCV (CV2) on a Python Flask backend, and stored user data and pose comparisons with Firebase. The system calculates joint angles and highlights misalignments to help users improve technique and reduce injury risk.
Tech Stack: React, Bootstrap, Node.js, Express, PostgreSQL, Railway, JWT
Collaborated with a team to build a full-stack web app that helps users log and track their progress through machine learning topics. Developed a Node.js/Express backend with a PostgreSQL database to handle user data and topic completion tracking. Integrated JWT-based authentication for secure login and access. Designed a responsive and user-friendly frontend using React and Bootstrap. Deployment is in progress as we prepare the app for production on Railway.
Tech Stack: Flask, HTML, CSS, Bootstrap, JavaScript, Gemini 1.5 API
Built an AI-powered customized knowledge chatbot using Python, Flask, and the Gemini 1.5 API to help users practice behavioral interview questions and receive real-time, AI-generated feedback. Designed and implemented a clean, responsive frontend using HTML, CSS, Bootstrap, and JavaScript. Secured API integration using environment variable management to protect user data and improve reliability.
Tech Stack: Python, TensorFlow, Scikit-learn, Keras, OpenCV, Matplotlib
Developed a deep learning model for three-class face mask detection, achieving 99.31% accuracy and a strong F1-score on a dataset of over 15,000 images. We engineered a robust data pipeline with preprocessing and augmentation to improve generalization, and designed a custom Convolutional Neural Network (CNN) in Keras/TensorFlow. Model training was managed in Google Colab with GPU acceleration and early stopping to prevent overfitting, while performance was visualized through accuracy/loss curves and confusion matrices. The best-trained model was optimized and saved for real-time tracking applications.
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