Projects
Software Engineering & Research Initiatives
Pseudo: Simulation of Omni-Model Behavior
Senior thesis project developing a tool that mimics omni-model behavior by integrating diverse APIs, including LLMs, text-to-image, and text-to-video. Built on APICenter, a framework that standardizes API interactions, reducing boilerplate code and optimizing development.
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Autonomous Drone Pathfinding & Collision Avoidance
Developing an autonomous drone navigation system using simulated LiDAR in Unreal Engine 5. Implementing reinforcement learning and genetic algorithms for efficient pathfinding and real-time collision avoidance in complex environments.
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Typewriter Piano: Multisensory Interaction Design
Research project accepted at National Conference on Undergraduate Research (NCUR) 2025, merging audio, visual, and interactive elements into an art installation. Collaborated with peers to design and execute a cohesive, interactive multisensory experience.
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Chasten: Python Static Analysis Tool
Developed a Python-based static analysis tool that uses XPath expressions to detect AST patterns, enabling custom linting rules without complex frameworks or imprecise regex. Led the integration of LLMs for natural language-to-XPath query conversion, optimizing development time.
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Academic Data Science
Mentored students in data science through Data Gators, developing an educational website as an online resource for learning data science, featuring structured lessons and practical applications. Conducted hands-on learning experiences and interactive workshops.
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APICenter: API Standardization Framework
Developed a framework that standardizes API interactions across different services, particularly focused on AI and machine learning APIs. This framework serves as the foundation for the Pseudo project, enabling seamless integration of multiple AI services.
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