$ identity
I like building things, breaking them in the process, and figuring out why they broke.
Open to opportunities
$ cat about.txt
Currently a low voltage technician working for the Crain Automotive Team, helping route data cables, PoE installations, and network infrastructure. Doubling as a Computer Science student with a life long admiration for the technicalities in life.
I'm interested in software development, full-stack applications, and understanding how things work from the ground up.
This portfolio is a place to document the things I'm building, the things I'm learning, and the problems I inevitably run into along the way.
$ cat experience.log
Crain Automotive Team
Subaru of Little Rock & Crain Kia of Sherwood
Arkansas Coding Academy
$ ls ./projects
A full-stack NBA player statistics application built with Java and Spring Boot. The application provides a REST API for searching players, teams, and individual player statistics.
Implemented a layered architecture separating REST controllers, business logic, and data access. Player records can be created, updated, searched, soft-deleted, and restored through the API.
Built around a relational database with a dedicated DAO layer, service layer, exception handling, and frontend pages for interacting with player and statistical data.
Java | Spring Boot | REST API | SQL | MariaDB | JavaScript | HTML | CSS | DAO | OOP
A Python-based football analytics pipeline built using event-level StatsBomb data from the 2015/16 Premier League. The project analyzes shot volume, expected goals (xG), finishing efficiency, and overall team performance.
Processed event data across all 380 league matches using Pandas, calculated team-level attacking metrics, and compared expected goals against actual results to identify trends in shot quality and finishing.
Built an interactive Streamlit dashboard for exploring team performance, league standings, goals scored, and expected goals alongside the underlying analytical dataset.
Python | Pandas | StatsBomb | Streamlit | Matplotlib | Data Analysis | Data Visualization
An interactive Sudoku solver and puzzle generator built with Python and Tkinter. The application uses backtracking with Minimum Remaining Values (MRV) optimization to efficiently solve Sudoku puzzles.
Implemented puzzle validation, unique-solution verification, randomized puzzle generation, and difficulty-based generation. The solver also tracks search attempts, backtracks, and execution time to analyze solving performance.
Built an interactive desktop interface with editable Sudoku grids, difficulty selection, real-time input validation, invalid-move feedback, and visual distinction between puzzle clues and solver-generated values.
Python | Tkinter | Backtracking | MRV | Algorithms | Unit Testing | GUI
A full-stack weather and fishing application built with Java and Spring Boot. The application combines weather, astronomical, and mapping data to provide fishing conditions for a selected location.
Implemented interactive maps with Leaflet, integrated external APIs for weather and location data, and developed a fishing condition rating based on environmental factors.
Deployed as a containerized Spring Boot application using Docker and hosted on Render.
Java | Spring Boot | JavaScript | Thymeleaf | Leaflet | HTML | CSS | REST APIs | Docker
$ cat skills.txt
Java · Python · SQL · JavaScript · HTML/CSS · Linux/Unix
Spring Boot · Angular · React · Django · Flask
MariaDB · Oracle
Git · GitHub · VS Code · Visual Studio · PyCharm · IntelliJ · Eclipse
pandas · NumPy · Matplotlib · Love2D · Hibernate
Web Development · Software Engineering
$ cat education.txt
Bachelor of Science in Computer Science
Aug. 2026 - PresentBachelor of Science in Computer Science
Aug. 2025 – May 2026 (Transferred)Bachelor of Science in Computer Science (Transferred)
Aug. 2022 – Jan. 2024$ ./contact.sh
Interested in me? My work? or just stopping to say hi. All of the above is cool with me.