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I am a Computer Science student at Cal State Fullerton, graduating in 2027, with hands-on experience in machine learning, data engineering, and full-stack development. At PROJXON, I developed AI-driven tools like a project scope automation API and a Discord chatbot that improved onboarding and team efficiency. As a Software Automation Intern at YourBookTeam, I built custom web applications and Python-based automation scripts that saved time and cut costs. My technical projects include a high-accuracy Breast Cancer Prediction Model using TensorFlow, and a Netflix Data ETL Pipeline built on Azure with Apache Airflow, Python, and PostgreSQL to automate and scale data workflows.
Read MoreIn my machine learning projects, I rely heavily on Python for its vast array of libraries and ease of use. TensorFlow and PyTorch are my go-tos for building and training models, while pandas and numpy help me preprocess data. For visualizing results, I turn to matplotlib and seaborn, creating detailed graphs and charts. Scikit-learn is essential for implementing standard algorithms and evaluating model performance, making it a crucial part of my workflow.
As part of my computer science foundation, I’ve built multiple C++ applications to deepen my understanding of object-oriented programming, memory management, and software logic. My experience includes writing efficient, modular code and applying C++ in academic and personal projects to strengthen my problem-solving and development skills.
Skilled in data engineering with hands-on experience building end-to-end pipelines for data collection, transformation, and analysis using tools like SQL, Python, and cloud-based platforms.
This project is a web application designed for binary classification of mushrooms as either edible or poisonous using machine learning algorithms. Built with Streamlit, the app features three classifiers: Support Vector Machine (SVM), Logistic Regression, and Random Forest.
Review Project
This project is a PingPong game made using C++ and the raylib library. The game features an automatic opponent, providing a challenging gameplay experience. It includes essential elements like player controls, collision detection, scoring, and visual enhancements.
Review Project
This project involves classifying breast cancer using a Neural Network built with TensorFlow and Keras in Python. The neural network is trained to analyze features of cell nuclei in breast cancer biopsies to determine the presence of cancer. Early detection through this method can significantly improve survival rates.
Review Project
California State University Fullerton Data Structures Projects programmed in C++
Review Project
Developed a comprehensive data pipeline using Azure Data Factory to ingest, transform, and load data into Azure Data Lake Storage. Utilized Databricks and PySpark for data processing, implementing Delta Lake for reliable data management, and orchestrated workflows with Azure services to ensure efficient data flow and integrity.
Review Project