A collection of projects focused on applying AI, automation, and data-driven solutions to real-world problems. Each project emphasizes practical use cases, iterative development, and leveraging AI to accelerate delivery and improve outcomes.
Customer Hierarchy Tool (AI-Assisted Development)
Problem: Existing tools lacked flexibility and required manual workarounds to manage customer hierarchy relationships.
Summary:
Developed a proof-of-concept application using AI-assisted pair programming to generate UI components, SQL logic, and resolve development challenges. This application allows users to dynamically group customer accounts and manage hierarchical relationships through a flexible user-driven interface.
Highlights:
- Designed a tool to manage complex customer hierarchy relationships
- Used AI to accelerate development of UI and backend components
- Delivered a working prototype for business validation
- Demonstrated the effectiveness of AI-assisted development in enterprise use cases
Outcome:
- Delivered a working solution where the existing system lacked flexibility
- Reduced reliance on rigid rule-based logic
- Enabled faster iteration and validation with business stakeholders
- Demonstrated effectiveness of AI-assisted development for enterprise use cases
Details:
Customer Hierarchy Tool
Blazor Application (AI-Assisted UI Development)
Problem: Rapid UI development was needed to support internal application needs while minimizing development time.
Summary:
Built a Blazor application leveraging AI to generate front-end components while designing backend data structures and application logic manually. This application provides a user interface for managing data entry and retrieval with AI assisting in rapid UI development.
Highlights:
- Used AI to generate UI components and assist with development tasks
- Designed and implemented backend database structures
- Applied prompting techniques to accelerate development
- Combined AI-generated code with structured development practices
Outcome:
- This application isn’t in production yet but has validated this approach to development
- The customer has already come back with another application to build
- Inspired me to build a Blazor app to describe how the Blazor Model works since I had never built one
Details:
Tasks and Activity Manager – AI Assisted Development
Copilot Agents (Business Process Automation)
Problem: Business users lacked quick access to information and relied on manual processes for recurring inquiries.
Summary:
Designed and developed AI-powered Copilot agents to support business process inquiries and automation, improving access to information and reducing manual effort. These agents allow the user to ask business- related questions and received structured, context-aware responses based on defined logic supporting repeatable business workflows and decision-making.
Highlights:
- Built agents to handle common business questions and workflows
- Structured prompts to improve response accuracy and consistency
- Iteratively refined outputs through testing and feedback
- Focused on practical automation use cases aligned to business needs
Outcome:
- One agent allowed me to pass an audit
- I have used these agents multiple times to keep up to speed with requests
- I have shared one agent with a business analyst on my team so she can see why the application works the way it does
Details:
AI Agent Development
AI-Generated Prototypes (Cross-Platform Exploration)
Problem: Needed a fast way to evaluate how AI can accelerate development across multiple technologies and use cases.
Summary:
Explored AI-assisted development across Python and mobile platforms to understand how AI can be used to rapidly prototype solutions. These projects demonstrated the ability to rapidly deliver functioning prototypes across different tools and platforms.
Highlights:
- Generated and tested Python scripts for targeted use cases
- Created mobile application prototypes using AI-generated code
- Evaluated cross-platform development with AI assistance
- Identified strengths and limitations of AI-generated solutions
Outcome:
- These projects demonstrated the ability to rapidly deliver functioning prototypes across different tools and platforms.
- Also, showed the range of projects and the level of expertise contained in thes models.
AI Prototypes:
AI Prototype Mobile App