Marcello Martini
Tech enthusiast · PhD Student in Information Technology · Computer Science and Engineering graduate
Hi, I'm Marcello, a PhD Student in Information Technology at Politecnico di Milano and a Computer Science and Engineering graduate. I love solving real-world problems with cutting-edge technology. Let's build something meaningful together.
Technologies I work with
Docker
C
Python
Prometheus
OpenAI
Google Colab
Seaborn
DynamoDB
RAG
Jupyter notebook
Tensorflow
LangChain
Node-RED
LangGraph
Github actions
ChromaDB
Shell
Consul
Cassandra
Java
Model Context Protocol
Hugging Face
Github
Overleaf
IntelliJ IDEA
Gradio
React Native
Git
LaTeX
Bert
Amazon Cognito
VSCode
MongoDB
MQTT
Linux
Grafana
Flask
Home Assistant
Amazon Api Gateway
Keras
Raspberry Pi
Expo
Kaggle
KerasCV
Plotly
JavaScript
AWS Lambda
Elasitcsearch
AWS
FastAPI
HTML
Pandas
MySQL
Kubernetes
Postman
NLTK
Poetry
Hugging Face Spaces
Wordpress
Zigbee
Arduino
Matplotlib
NumPy
Neo4j
Jaeger
Stripe
Istio
PHP
Bootstrap
Scikit-learn
Spring
Featured Projects
View allSRE Agent: Autonomous Kubernetes Operations
2024 - 2025Autonomous agent for Kubernetes incident detection, diagnosis, and mitigation using LLMs and modular workflows.
Python
LangChain
LangGraph
Kubernetes
Prometheus
Interactive Portfolio Agent
2025Autonomous agent designed to answer questions about my professional profile, portfolio, and expertise using RAG and LangGraph.
Python
LangGraph
RAG
Docker
FastAPI
GitHub Activity
View profile8
Public repos
29
Total stars
6
Languages
- SRE-agent 24 Autonomous agent for Kubernetes incident detection, diagnosis, and mitigation using LLMs and modular workflows. Integrates LangChain, LangGraph, and MCP servers to enable automated SRE tasks in cloud-native environments. Jupyter Notebook
- AN2DL24-projects 2 Projects of the course of Artificial Neural Network and Deep Learning of the a.y. 2024/25 Jupyter Notebook
- langgraph-cv-agent 1 AI Assistant for my portfolio site. Leverages LangGraph agents and Vector Search to provide real-time context on my professional experience. Python
- k8s-observability-mcp 1 A comprehensive Kubernetes observability toolkit built on the Model Context Protocol (MCP) for Site Reliability Engineering. Jupyter Notebook