ABOUT
I’m a Computer Science student at the University of Maryland, specializing in Machine Learning, with minors in Business and Statistics.
My work centers around modernizing data pipelines and building zero-to-one solutions. My research has been in game theory models to help advance human decision-making.
Outside of tech, I enjoy playing golf, hiking, traveling, or just spending time outdoors. I’m always looking to make a meaningful impact—feel free to reach out if you'd like to connect!
University of Maryland
BS Computer Science (Machine Learning)
Minors: Business, Statistics • 2023 – 2026
Relevant Coursework:
Data Structures & Algorithms
Machine Learning
Data Science
Computational Game Theory
Computer Systems
Statistical Computing
Applied Probability & Statistics
Discrete Math
Multivariate Calculus
Linear Algebra
Club Golf – President
Jan 2025 – Present
Previous Position: Social Media Chair (Handicap: 4.4)
EXPERIENCE
SOFTWARE ENGINEER INTERN
General Dynamics Information Technology
Jun 2025 - Present
- Deployed vehicle computer vision plugin on the Android Tactical Awareness Kit to enhance situational awareness
- Improved reliability by 30% under adversarial stress tests through PGD training and MobileNet fine-tuning
- Achieved 90%+ accuracy using a hybrid of transfer learning and custom CNNs for lightweight deployment
- Accelerated inference to under 100ms on edge devices by designing a 3-stage deep learning pipeline
AWS Lambda
Tensorflow
Keras
Scikit-Learn
Android Studio
Java
HTML
PROJECT LEAD
General Dynamics Information Technology
Jan 2025 - May 2025
- Led cross-functional teams to build scalable RAG pipeline using Llama 3-70B for analysis of 600K+ emails
- Improved data retrieval speed and discovery by 95% by implementing relationship mapping and similarity search
- Boosted search accuracy by 40% via custom semantic chunking, NER extraction, and metadata enrichment
AWS Bedrock
AWS EC2
LangChain
Neo4J
Qdrant
NLTK
Flask
Next.js
Tailwind CSS
PROJECT MANAGER
Booz Allen Hamilton
Sep 2024 - Dec 2024
- Developed in-house tool to automate medical policy scraping with real-time editing and annotation features
- Met weekly with CTO and lead engineer to review progress, align on deliverables, and ensure achievement of KPIs
- Saved $50K+ annually by automating workflows and cron-based web scraping, cutting manual effort and errors
- Engineered document comparison, feature extraction, and sentiment analysis to streamline policy auditing
PyTorch
Scikit-Learn
Selenium
PostgreSQL
Express.js
Next.js
Tailwind CSS
SOFTWARE ENGINEER INTERN
Internal Revenue Service
Jan 2024 - Dec 2024
- Completed 100% of ETL tasks for Q2-Q4 on tax fraud detection system processing 22.5M+ monthly applications
- Strengthened system reliability by resolving 50+ defects, modernizing a 20-year-old build and reducing downtime
- Deployed division-wide CI/CD pipeline upgrade with 100% code coverage, advancing enterprise modernization
IBM Rational Team Concert
Jenkins
Ant
Maven
Java