Washington University in St. Louis, Fall 2025
Built a Red-Blue teaming system for VLM security that automatically generates visual jailbreak attacks and explainable, code-based defenses using OCR and keyword detection.
Washington University in St. Louis, Fall 2025
Built a real-time data pipeline for MLB pitch data using Apache Airflow, Snowflake, and Kafka, with an interactive Streamlit dashboard for pitch analysis and visualization.
Personal Project, Summer 2025
Applied Bayesian optimization techniques for hyperparameter tuning and feature optimization across superconductivity, concrete strength, and wine quality prediction problems.
Personal Project, Summer 2025
A cross-platform GUI application that identifies Instagram accounts you follow that don’t follow you back, with session management and 2FA support.
Washington University in St. Louis, Fall 2024
Developed a multimodal approach for early detection of Alzheimer’s Disease using the OASIS-1 dataset, combining imaging and clinical data analysis through deep learning and machine learning techniques.
Washington University in St. Louis, Fall 2024
Developed an interactive storytelling application using Vue.js, Node.js, and MongoDB with AI-powered content generation, enabling users to create and experience branching narrative stories with dynamically generated text and images.
Washington University in St. Louis, Fall 2024
Implemented multiple deep reinforcement learning algorithms (DDQN, PPO, SAC) integrated with EnergyPlus simulations to optimize datacenter cooling systems for improved energy efficiency.
Washington University in St. Louis, Fall 2024
Developed a feature-rich multi-room chat application using Node.js and Socket.IO with password-protected rooms, private messaging, and user moderation capabilities.
Washington University in St. Louis, Fall 2024
Developed a feature-rich personal calendar and event management web application using PHP and MySQL, implementing secure user authentication, interactive calendar interface, and comprehensive event management capabilities.
Ohio Wesleyan University, Spring 2023
Designed, fielded, and investigated a survey research of 1000 employees to analyze AI's impact on work efficiency and attitudes. Found AI improved efficiency across industries.
Ohio Wesleyan University, Fall 2022
Co-developed an AI opponent for Connect 4 using alpha-beta pruning algorithm.
MITxSureStart FutureMakers Create-a-Thon Program, Summer 2022
Co-developed AIParkinScan software for Parkinson's diagnosis using audio and image data. Utilized neural networks, spectrograms, and Random Forest algorithm.
Ohio Wesleyan University, Summer 2022
Developed an AI opponent for the card game Lost Cities using object oriented principles in Java.