About Me
Proven technical leader with 10+ years in the US Navy, including 800+ hours as an MH-60S/MQ-8B Aircraft and Mission Commander. Expertise in complex project management, team leadership, and advanced aviation systems. Strong technical skills in Java, JavaScript, Python, SQL, and data visualization (Excel, Tableau, Power BI). Seeking a technology role leveraging leadership and data-driven expertise!
Skills
Technical Skills
- Java
- JavaScript/React
- Python
- SQL
- HTML/CSS
- Git
- RESTful APIs
Data Analysis
- Excel (Advanced)
- Tableau
- Power BI
- Data Modeling
- ETL
- Data Warehousing
- Sentiment Analysis
Project Management
- PMP Certified
- Agile/Scrum
- Waterfall
- Strategic Planning
- Risk Management
- Budget Management
- Process Improvement
Leadership
- Team Leadership
- Mentoring
- Cross-Functional Collaboration
- Stakeholder Management
- Presentation Skills
- Technical Documentation
- Conflict Resolution
Resume
Education
Master of Information Systems - University of Arkansas (Expected 2025)
Bachelor of Science, Information Technology - United States Naval Academy (2014)
Experience
10+ years of US Navy service in leadership roles
Project Management Professional (PMP) certification
Projects
Dimension Modeler: Data Warehouse Tool
A React-based visual modeling tool that enables users to design data warehouse schemas through an intuitive drag-and-drop interface.
Tech Stack:
- Frontend: React 18, React Konva, CSS3
- State: Zustand for global state
- UI: Custom modals, drag-and-drop objects
- UX: Theme switching, responsive design
AI Website Generator with Python
An AI-powered application that automatically generates website code using Python and large language models.
Tech Stack:
- Backend: Python, Flask, asyncio, sqlite3
- AI: Ollama, OpenAI API for validation
- Frontend: Gradio, HTML5, CSS3, Bootstrap 5
- Utils: BeautifulSoup, html5lib, threading
Future: Multi-threaded AI agents for HTML generation.
Generative AI HTML Website Generator
A tool that leverages AI models to create HTML website code based on user requirements, storing html elements in a database while iterating through website refinement.
Tech Stack:
- Backend: Python, asyncio, Gradio
- AI Models: Ollama, OpenAI
- Frontend: Gradio Interface, HTML5, CSS3
- Utils: BeautifulSoup, html5lib
Document Q&A System (RAG)
A retrieval-augmented generation system that enables users to query and get answers from PDF and Excel documents using LLMs.
Tech Stack:
- Backend: Python, LangChain, FAISS
- LLM: Ollama, Deepseek-r1:1.5b
- Frontend: Streamlit
Offline AI Chatbot
An offline AI chatbot application that runs locally using Ollama and Deepseek language models, eliminating the need for internet connectivity.
Tech Stack:
- Backend: Python, Flask
- LLM: Ollama, Deepseek-r1:1.5b
- Frontend: HTML, CSS, JavaScript
YouTube Comments Analyzer v2.0
A tool that analyzes YouTube video comments using AI to provide insights and visualizations.
Tech Stack:
- Backend: Python, Flask
- API: YouTube Data, OpenAI (gpt-4o-mini)
- DB: SQLite
- Viz: WordCloud
- Frontend: HTML, CSS, JS