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Amatofrancesco99/README.md

Hi there, I am Francesco Amato

🔗 LinkedIn: Francesco Amato

👨‍💻 Summary

Tip

I am an AI Engineer and Data Scientist (formerly Data Engineer) with an academic background in Computer Science Engineering and Data Science. My goal is clear: to transform complex data into intelligent, scalable applications, creating end-to-end solutions that run reliably in the Cloud and deliver concrete business results. I manage the full lifecycle of Artificial Intelligence systems, integrating Machine Learning and Generative AI (ML, GenAI) into modern software architectures.
I am gaining extensive experience in developing multi-agent systems with modular and scalable architectures, designed to be reused across various enterprise use cases. In this context, I manage the entire application stack: from logical agent orchestration (LangGraph) to external communication (MCP for APIs; FastAPI for users), all the way to performance monitoring, deployment, and Cloud infrastructure provisioning (Terraform).
My expertise extends deeply into DevOps and Cloud Architecture. Leveraging my certifications in Google Cloud, Microsoft Azure, and Terraform, I automate resource provisioning and deployment, ensuring that every system is reliable, maintainable, and seamlessly integrated — from the initial data source to the end-user experience.

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  1. llama-first-aid llama-first-aid Public

    LLAMA First Aid — your virtual first aid assistant, powered by GenAI.

    Python 10 4

  2. bigquery-sensei bigquery-sensei Public

    Delivering actionable, data-driven insights from BigQuery logs to empower users and administrators. By monitoring query performance, cost, and quality, it leverages GenAI to provide personalized su…

    Python

  3. ee-satellites ee-satellites Public

    A (Python) library for simplifying and accellerating satellite data acquisition

    Python 5

  4. organic-fertilizers-detection organic-fertilizers-detection Public

    Detection of organic fertilizers (manure) application on crop fields leveraging satellite data and Machine Learning.

    Jupyter Notebook 9 1

  5. credit-risk-analysis credit-risk-analysis Public

    The aim is to understand which are the key factors for a certain level of credit risk to occur. In addition, some ML models capable to predict the credit risk level for a company in an year - given…

    Jupyter Notebook 33 6

  6. KNN-OpenMPI KNN-OpenMPI Public

    An Open MPI implementation of the well known K-Nearest Neighbors (Machine Learning) classifier.

    Jupyter Notebook 8 1