Welcome to my interactive resume application—a modern, web-based platform designed to showcase my professional background and technical expertise in Python development. This project not only serves as an online curriculum vitae but also demonstrates my ability to build engaging applications with cutting-edge technologies.

Alan Frigo's Resume is built with Python and Streamlit to provide a dynamic and responsive user interface. The application leverages cloud-based services to fetch and display data, ensuring that the content (such as skills, certifications, and work experience) is always up-to-date. With a clean design and interactive elements, this project effectively highlights my journey from SEO and automation to advanced Python development.

• Interactive UI: Developed using Streamlit, the app offers a responsive and user-friendly interface.
• Cloud-Integrated Data: Uses Supabase for backend data storage, retrieving information on my top skills, certifications, and professional experience.
• Dynamic Calculations: Implements custom logic for date and duration calculations, enhancing the presentation of my career timeline.
• Custom Sidebar: Features personalized contact links (email, LinkedIn, GitHub) and skill listings, making it easy for employers to connect.
• Structured Layout: Organized sections for a professional summary and detailed work experience ensure clear, engaging storytelling.

• Python: The primary programming language for rapid development and robust back-end processing.
• Streamlit: Enables quick creation of interactive, data-driven web apps with minimal code.
• Supabase: Acts as the backend service for storing and retrieving resume data, illustrating real-world integration of cloud databases.
• Datetime Module: Utilized for calculating work durations, showcasing attention to detail in presenting experience.
• Custom Modules: Utilizes specialized libraries like st_supabase_connection for seamless connectivity with Supabase.

• Python 3.8+
• pip package manager
• The following Python packages (listed in requirements.txt):
  • streamlit
  • supabase
  • st_supabase_connection

Ensure your Supabase credentials are set before running the application:

• SUPABASE_URL — Your Supabase project URL.
• SUPABASE_KEY — Your Supabase API key.

You can define these in your system environment or via a .env file using a package like python-dotenv.

1. Clone the Repository:

   git clone https://github.com/your_username/alan-frigo-resume.git
   cd alan-frigo-resume
   

2. Install Dependencies:

   pip install -r requirements.txt
   

Launch the interactive resume with Streamlit:

   streamlit run app.py

Replace app.py with the name of your main Python file if it is different.

Project Structure:

├── app.py                  # Main application file containing all Streamlit code.
├── README.md               # Project overview and instructions.
├── requirements.txt        # List of Python dependencies.
├── profile-pic.jpeg        # Profile image displayed in the sidebar.
└── .env                    # (Optional) Environment variables for Supabase credentials.

• Additional Content: Integrate a project portfolio or case studies to further highlight my capabilities.
• UI Enhancements: Continue refining the design for a more polished look and feel.
• Advanced Integrations: Explore incorporating advanced frameworks (e.g., FastAPI, LangChain) for deeper functionality and demonstrations of technical versatility.

I am a dedicated Software Engineer with a passion for Python development. With years of experience in SEO, web automation, and WordPress development, I bring a comprehensive and innovative approach to every project. My goal is to create impactful, scalable, and efficient solutions that merge technical excellence with strategic business insights.

This project is licensed under the MIT License.

Feel free to reach out to discuss opportunities or to learn more about my work:

• Email: [email protected]
• LinkedIn: Alan Frigo

Developed with ❤️ by Alan Frigo
Last updated: April 13, 2025