This is a submission for the New Year, New You Portfolio Challenge Presented by Google AI
About Me
I am a Computer Science student at Queen Mary University London (Class of '27) and an aspiring DevOps Engineer. Currently, I’m deep-diving into the Linux Foundation’s LFS101 course to master the "gold standard" of infrastructure. My focus is on building automated, modular, and transparent systems that follow the core philosophy of Linux.
Portfolio
You can interact with my live portfolio here:
How I Built It
The "Prompt-to-Prod" Pipeline
Instead of manually coding every component, I acted as the "Architect" and used Google AI Studio as my "Engineer."
System Design: I prompted Gemini to create a React/Tailwind frontend that mirrors the Linux Philosophy. I specifically requested icons like the Terminal (fa-terminal) and Linux Penguin (fa-linux) to keep my branding consistent with my recent study projects like "Flashy."
AI Integration: I integrated a floating Gemini Chatbot widget. This isn't just a UI element; it represents the future of user interaction where AI acts as a 24/7 documentation layer for my resume.
Automated Deployment: I used the Deploy to Cloud Run feature directly from AI Studio. This allowed me to practice containerization and serverless architecture without having to manage raw Dockerfiles manually.
What I'm Most Proud Of
I am most proud of the modular architecture. Following the rule that "Small is Beautiful," I ensured that my project data (like the links to Flashy, WastePlate, and Chicken Intruder) is isolated from the UI logic.
As a student, seeing my code scale from a simple AI prompt to a globally available, containerized application on Google Cloud Run for $0.00 was a massive "Aha!" moment. It proved that with the right AI tools, the barrier between "student project" and "production-ready app" is thinner than ever.
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