Fabrizio Ruocco
Digital Natives EMEA AI Lead - SR Principal Global Black Belt
Malaga, Andalusia, Spain
Summary
🤩
Rockstar🎓
Top SchoolFabrizio Ruocco is a senior AI and cloud leader with eight years at Microsoft, currently serving as Digital Natives EMEA AI Lead and Senior Principal Global Black Belt, where he bridges technical depth and go-to-market strategy for AI solutions across the region. He combines hands-on full-stack and DevOps experience—contributing to high-profile Microsoft open-source accelerators for conversational knowledge mining and document Q&A using Azure OpenAI, Azure AI Foundry, and Azure Search—with frontline field leadership. His background in computer engineering and early roles in big data and machine learning give him a strong foundation in productionizing models, semantic search, and embedding-based retrieval systems. Notably, he implemented ARM deployments, audio processing pipelines, and scalable batch document processing in community-facing repos, demonstrating both infrastructure and application expertise. Based in Malaga, he blends technical implementation skills with enterprise enablement, helping customers turn conversational and document data into actionable insights. Colleagues describe him as a pragmatic technologist who prefers shipping end-to-end solutions that makers and nontechnical stakeholders can immediately use.
8 years of coding experience
11 years of employment as a software developer
Liceo Scientifico "Francesco Severi"MSc - Laurea Magistrale Computer Engineering - Ingegneria Informatica, MSc - Laurea Magistrale Computer Engineering - Ingegneria Informatica at Università degli Studi di Napoli Federico II
Italian, English
Github Skills (31)
cognitive-services10
javascript10
python10
microsoft-azure10
semantic-search10
azure-blob-storage10
document-processing10
dotnet-core10
text-extraction10
azure10
streamlit10
csharp10
azure-search10
redis9
back-end-development9
Programming languages (6)
Github contributions (5)
microsoft/Conversation-Knowledge-Mining-Solution-Accelerator
Jul 2020 - Oct 2022
This solution accelerator leverages Azure AI Foundry, AI Content Understanding, Azure OpenAI, and Azure AI Search to enable organizations to derive insights from volumes of conversational data using generative AI. It offers key phrase extraction, topic modeling, and interactive chat experiences through an intuitive web interface.
Role in this project:
Full-stack Developer & DevOps Engineer
Full-stack Developer & DevOps EngineerContributions:22 commits, 11 PRs, 58 pushes in 2 years 4 months
Contributions summary:Fabrizio made significant contributions to both the frontend and backend of the application, as well as the infrastructure and deployment processes. They added filter key functionality to the frontend UI, enhancing user interaction. Backend changes included modifications to audio processing with Python and PowerShell scripts to manage cognitive service creation. Furthermore, the user implemented support for ARM template deployments.
ruoccofabrizio/azure-open-ai-embeddings-qna
Nov 2022 - Mar 2023
A simple web application for a OpenAI-enabled document search. This repo uses Azure OpenAI Service for creating embeddings vectors from documents. For answering the question of a user, it retrieves the most relevant document and then uses GPT-3, GPT-3.5 or GPT-4 to extract the matching answer for the question.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:8 reviews, 75 commits, 44 PRs in 3 months
Contributions summary:Fabrizio contributed to the development of a document search web application, integrating Azure OpenAI services for embeddings and question answering. They implemented text extraction functionality from documents using Azure Form Recognizer and integrated Azure Blob Storage for document storage and retrieval. The user also added functionality for document translation, summarization and prompt exploration, and added a batch document processing system.
azureopenai
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