I'm a U.S. Navy veteran with Secret clearance (current, eligible for reactivation) and recent graduate from the University of Washington Tacoma with a B.S. in Computer Science and Systems and a Minor in Mathematics.
My expertise spans full-stack development and data science, with strong foundations in modern web technologies, statistical analysis, and mathematical modeling. I bring analytical problem-solving skills and leadership experience from my Navy service, with a proven track record of delivering scalable applications and data-driven insights.
Currently seeking opportunities in:
- Full-Stack Development: TypeScript, Next.js, and cloud architecture
- Software Engineering: Backend development with Python/Java
- Data Science: Statistical modeling and algorithm optimization
- Languages: TypeScript, Python, Java, SQL, R
- Frontend/Full-Stack: Next.js, React, TypeScript, HTML/CSS
- Backend: Express.js, Node.js, Python APIs
- Databases: PostgreSQL, Microsoft SQL Server, Firebase
- Development: Git, IntelliJ, PyCharm, WebStorm
- Cloud Platforms: Google Cloud Platform, Firebase, Google Cloud Storage, Cloud Pub/Sub
- Data Science: pandas, NumPy, NLTK, NetworkX, Matplotlib, scikit-learn, TensorFlow
- Statistics: Statistical modeling, Markov chain analysis, probabilistic modeling
- Analytics Tools: Jupyter Notebooks, Google Colab
- Media Processing: ffmpeg transcoding and automated workflows
Full-Stack YouTube Clone
Scalable video streaming platform built with TypeScript, Next.js, and Express. Features automated video processing pipeline with Google Cloud Storage, Firebase Authentication, Cloud Pub/Sub for real-time notifications, and ffmpeg transcoding workflows.
SHA3-SHAKE Cryptographic Library
Production-grade implementation of SHA-3 hash functions and SHAKE algorithms following FIPS 202 specification. Features optimized Keccak-f[1600] permutation, CLI interface with file hashing and MAC generation, plus comprehensive NIST test vector validation.
Markov Chain System Analysis
Probabilistic modeling system implementing power iteration algorithms and steady-state analysis for random walk processes. Demonstrates system reliability analysis and performance optimization using advanced mathematical modeling with PyAmaze integration.
Naive Bayes Sentiment Classifier
Statistical text classification achieving 85%+ accuracy using Naive Bayes with Laplace smoothing. Features comprehensive NLTK pipeline, feature extraction, and error analysis for large-scale movie review sentiment analysis.
Graph Algorithm Analysis
Network analysis system implementing BFS/DFS algorithms, NetworkX integration, and Matplotlib visualizations. Provides decision tree optimization, pathfinding strategies, and performance metrics evaluation.
CHIP-8 Emulator
Minimal emulator implementation with instruction decoding and graphics rendering. Demonstrates systems programming concepts, memory management, and low-level optimization for classic gaming hardware simulation.
J-- Compiler Extensions
Extended Java subset compiler with scanner enhancements for multi-line comments and numeric literals, parser improvements with grammar rules, and AST node implementation for conditional expressions, loops, and exception handling.
- Full-Stack Developer roles across diverse technology stacks and platforms
- Software Engineer positions in backend development, systems programming, or application development
- Data Scientist opportunities in statistical modeling, machine learning, and analytical problem-solving
- Advancing skills in scalable system design, algorithm optimization, and predictive analytics