About

I am a senior at the University of Maryland, College Park, pursuing a degree in Computer Science with a concentration in Philosophy through the College of Mathematics and Computer Science. I am passionate about software engineering, web development, and artificial intelligence, with hands-on experience in full-stack web development, android development, systems programming, data analysis, and AI research. As an Eagle Scout, I value leadership, personal connections, and fostering a culture of collaboration and growth within the tech community. I thrive on solving complex problems and contributing to innovative solutions that drive progress. I am currently seeking internships and full-time opportunities in software engineering, web development, and artificial intelligence.

Languages

My favorite languages for systems programming, software engineering, and data analysis.

Tools and Tech

My preferred technologies for full stack development and version control.

Featured Projects

NASA AI Research

I collaborated on a Machine Learning project to classify cloud images from the NASA GLOBE Clouds dataset. Using TensorFlow, we developed a model that achieved 83% accuracy in distinguishing heavily obstructed images from clear ones, improving the dataset's reliability by filtering out unusable images.

Check it out!

Sentiment Analyzer

This project is a web-based sentiment analysis tool developed with Django. It analyzes text input by the user to determine the sentiment behind the text (positive, neutral, or negative).

Check it out!

Experience

AI / Software Engineer

June-Aug 2023
June-Aug 2024
Aug 2025 - Present

As an AI/Software Engineer at AMD, I developed a full-stack chatbot using Angular, MongoDB, and chain-of-thought LLMs to enhance user interaction. I built a predictive system with Generative AI, analyzing 20,000+ x86 assembly logs and JIRA tickets to achieve 90% accuracy in x86 code generation, improving data quality and ML performance. Additionally, I automated workflows with a Node.js web scraping framework to streamline data collection.

Undergraduate Research

Aug 2021 - Jan 2023

In the FIRE Program, I was trained in bias detection and gained expertise in TensorFlow and scikit-learn. Serving as the team software liaison, I managed tasks, guided teammates in a collaborative environment, and contributed to the development of advanced AI models. I also gained experience in creating detailed research reports, conducting statistical analyses, and presenting research findings to faculty at the UMD undergraduate symposium, effectively communicating team achievements.

HENRY STARR Programmer • Web Developer • AI Engineer