Welcome to My Execution Portfolio
Below is a collection of functional AI applications I designed, built, and deployed. Each project is a testament to a modern and efficient development framework where I serve as the architect and an AI serves as the co-pilot.
This portfolio is the tangible proof of that process in action.
My Development Framework: The Architect & AI Co-Pilot
My approach to building software prioritizes high-level system design, strategic problem-solving, and rapid execution. Instead of writing every line of code from scratch, I leverage AI to generate the initial codebase, allowing me to focus on the most critical aspects of the development lifecycle.
My workflow is a structured, iterative loop:
Vision and Architecture (My Role): I define the project's goal, features, and overall system architecture. I determine what needs to be built and how the different components should interact.
AI Code Generation (The AI's Role): Based on my detailed specifications, the AI Co-Pilot generates the first draft of the application's code.
Review, Debug, and Refine (My Role): This is the core of my process. I meticulously review the AI-generated code to understand its logic. I then run the application, systematically identify bugs and logical errors, and guide the AI to implement the correct solutions. This iterative "learning by correcting" loop quickly elevates the code from a rough draft to a functional product.
Integration and Deployment (My Role): I implement the final, validated code, make the executive decisions on functionality, and manage the deployment of the application to a live environment.
This methodology allows me to build and deploy robust applications with maximum speed and efficiency, focusing my expertise on strategy and quality control.
Notice:
AI Applications are hosted on Hugging Face, since they are on the free tier they may fall asleep and become inactive.
All models are up to date: Gemini 2.0 Flash .
Explore the Projects
Feel free to interact with the live AI applications embedded on this site. To review the underlying code and detailed project documentation, please visit the GitHub repository linked below. For the best experience I recommend using on desktop or laptop.
