PHILLIP DINH

Maze Generator and Pathfinder

• ReactJS application that dynamically renders a maze as a 2D array state of ‘nodes’ based on user selection of maze generation and path finding algorithms.
• Algorithms are used to traverse the maze and return a stack of visited nodes. After execution the stack is used to visualize each step of the algorithm and the shortest path from start to finish.

Deep Learning Social Network

• Trained a NLP deep learning model on social media profile data for user profiling using Python.
• Built a UI with Streamlit, enabling users to select models, tokenizers, and adjust model parameters.
• Utilized SQL for user information and leveraged Pinecone Vector Database for embeddings.

Tarpaulin REST API

• A school API for students, teachers, and admin to access and manipulate course information, using Sequelize for database interactions.
• Containerized a SQL database and Redis server for rate limiting with Docker.
• Secured application with BCrypt password encryption and Json Web Token authentication for protected endpoint access.

Tools: Git, Docker, Gradle, Pinecone Vector DB, MySQL, MongoDB, Firebase, Figma

Languages: Python, JavaScript, SQL, C/C++, Kotlin, HTML, CSS

Frameworks/Libraries: React, React-Native, Node, Express, Axios, Redux, Redis, BCrypt, JsonWeb Token, Knex, PyTorch, Sequelize, Streamlit