USMA Cadet • Applied Statistics & Data Science
United States Military Academy cadet passionate about AI systems, knowledge graphs, and applied data science. I've worked on AI decision support systems at DEVCOM Army Research Laboratory and continue to explore emerging technologies that bridge military operations and innovation.
Selected work
AI Systems
Led information extraction and knowledge graph implementation for an AI decision support system designed for military commanders. Produced a paper detailing the building process, implementation approach, and proposed experimentation strategy.
Field Research
Supported field testing and research at the Army Research Laboratory (ARL), assisting with drone operations and emerging robotic technologies. Collected and analyzed footage for BDA reports, and gained hands-on exposure to GIS and AI-enabled military applications.
Coursework
Relevant coursework includes Computer-Aided Systems Engineering, Applied Statistics, and Linear Algebra. Pursuing research in decision support and emerging AI technologies for military operations.
Focus Areas
Designing and implementing AI-powered systems that help commanders make better decisions faster. Focus on knowledge graph design, structured data extraction, and making complex information accessible to non-technical stakeholders.
Applying NLP techniques and machine learning models to real-world problems. Experienced with spaCy, Python scripting for data analysis, and prompt engineering with AI tools for code generation and refactoring.
Technical Expertise
Fluent in Python, NLP libraries (spaCy), and knowledge graph platforms (FalkorDB). Experienced with VSCode, Excel, RStudio, and GIS tools. Strong in technical communication with non-technical audiences, research methodology, and self-directed learning with emerging AI tools.
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