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My Portfolio isn't just static anymore: It talks using Gemini AI & Cloud Run 🚀

This is a submission for the New Year, New You Portfolio Challenge Presented by Google AI About Me Hi! I'm Matteo Avigni, a Software Developer & Data Engineer with a background in Quantitative Finance. I specialize in…

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This is a submission for the New Year, New You Portfolio Challenge Presented by Google AI






About Me



Hi! I'm Matteo Avigni, a Software Developer & Data Engineer with a background in Quantitative Finance. I specialize in transforming complex data into high-performing Web Apps and Desktop Solutions.






Portfolio



Here is my new AI-powered portfolio:










(If the embed doesn't load immediately, you can visit the site here: Live Demo)






How I Built It



For this challenge, I decided to upgrade my static GitHub Pages portfolio into a dynamic, AI-powered web application hosted on Google Cloud Run.



The Tech Stack:





  • Backend: Python (Flask) served via Gunicorn.


  • AI: Google Gemini API (Model: gemini-2.5-flash) for the chat assistant.


  • Infrastructure: Docker container deployed on Google Cloud Run.


  • Frontend: HTML5, CSS3, JavaScript (Vanilla).



Key Features:




  1. AI Chat Assistant: I integrated a chatbot that acts as my "Virtual Agent". It uses gemini-2.5-flash to answer questions about my CV, skills, and projects in real-time.

  2. Dynamic Context: The AI is context-aware. I used "System Instructions" to feed it my professional profile, so it answers exactly like I would during an interview.

  3. Smart Language Detection: The backend detects the user's language (Italian or English) and instructs Gemini to reply in the same language.

  4. Cloud Native: The app is containerized and runs serverless on Cloud Run, ensuring scalability and zero maintenance.






Why Google Cloud Run?



I chose Cloud Run because I needed a way to host a Python backend (for the API key security) without managing servers. The gcloud deployment was seamless, and the "Scale to Zero" feature ensures I don't pay when no one is visiting.






What I'm Most Proud Of



I'm particularly proud of the "Chat with my CV" feature. Instead of forcing recruiters to read a long PDF, they can now simply ask: "What is Matteo's experience with Django?" and get an immediate, accurate answer. It makes the portfolio interactive and demonstrates my skills with GenAI and Cloud Engineering in practice.



Source Code / Repository:

https://github.com/matteoavigni/portfolio-challenge






Submitted for the New Year, New You Portfolio Challenge 2026.

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