A responsive portfolio website using HTML, CSS, and JavaScript, showcasing my skills, projects, and experiences as a developer. Implemented a visually appealing design with interactive elements and ensured compatibility across different devices.

A web application using Java, JavaScript, HTML, CSS, and Bootstrap, incorporating Google Cloud Platform APIs (App Engine, Datastore, and Maps) for enhanced functionality and user experience to enable seamless access to local resources and services.

A simple and easy-to-navigate Chrome extension that caters to students who attend Cal Poly Pomona. CPP Hub grants students quick access to relevant links to campus resources.

Cyber Adaptive Learning System Laboratory is a research lab at Cal Poly Pomona that focuses on advancing cyber-defense strategies through machine learning and social network analysis. I help develop cyber-threat intelligence systems and gather data from hacker communities to proactively identify emerging cyber threats.

In this rock-paper-scissors game, implementated using the Qiskit library, you have the opportunity to make your choice, while the program generates the computer's choice randomly. Once the winner is determined, the outcome and the choices made are displayed.

This project implements a machine learning model to classify emails as spam or non-spam. It utilizes the Naive Bayes algorithm for text classification and demonstrates the process of training the model, evaluating its performance, and making predictions.

This project is a data preprocessing and analysis tool that provides features to drop missing values, remove outliers, clean string data, perform optional operations, calculate basic statistics, and generate visualizations (scatter, histogram, boxplot).

This project uses historical stock price data to create a predictive model based on LSTM neural networks, which aims to forecast future stock prices for a predefined list of stocks.

Developed a web scraping search engine for Cal Poly Pomona's Civil Engineering professors. Utilized Beautiful Soup for scraping, stored data in MongoDB, and applied natural language processing with TF-IDF and cosine similarity using sklearn and nltk. The user-friendly interface was built with Django, HTML, CSS, and Bulma UI for seamless searching and exploration.

Huddle is a collaborative task management web application that allows users to create huddle groups, add members, and manage tasks within these groups. Users can seamlessly coordinate and track progress on shared tasks, fostering efficient teamwork.

This research project aims to uncover and address potential gender bias that may exist within Large Language Models, such as ChatGPT. Identifying these potential biases helps address ethical concerns in AI. This project involves generating prompts, utilizing ChatGPT's API, storing responses, and evaluating the bias in responses.