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tommasoDR

PROFILE

Tommasodr

During two months on the belgio99/smartfactory repository, Tommaso Diriccio developed a production-grade Retrieval-Augmented Generation (RAG) knowledge base system for KPI analytics and dashboard creation. He engineered end-to-end data ingestion from CSV, integrated multi-model generation using both Google Generative AI and Ollama, and implemented a knowledge retriever leveraging SPARQL over RDF/OWL graphs. Tommaso enhanced the system with context-aware conversational history, multilingual support, and robust test infrastructure for RDF queries. His work, primarily in Python and RDF, demonstrated depth in backend development, ontology management, and prompt engineering, resulting in improved knowledge retrieval quality and scalable, context-driven analytics workflows.

Overall Statistics

Feature vs Bugs

71%Features

Repository Contributions

13Total
Bugs
2
Commits
13
Features
5
Lines of code
8,468
Activity Months2

Work History

December 2024

11 Commits • 4 Features

Dec 1, 2024

December 2024 — belgio99/smartfactory: Delivered context-aware conversational history for improved RAG performance, advanced KPI/dashboard generation with enhanced knowledge base and SPARQL query capabilities, and multilingual support enhancements. Strengthened reliability with stability fixes, and expanded test infrastructure covering RDF KPI energy queries. These changes collectively improved follow-up accuracy, knowledge retrieval quality, and cross-language support, while laying groundwork for scalable KPI analytics and broader adoption.

November 2024

2 Commits • 1 Features

Nov 1, 2024

November 2024 monthly summary for belgio99/smartfactory: Delivered a production-grade RAG-based Knowledge Base System enabling end-to-end knowledge retrieval, KPI generation, and dashboard creation. Implemented CSV data ingestion, multi-model generation with a fallback path (online Google Generative AI and offline Ollama), and a KB retriever using SPARQL over RDF/OWL graphs. Built LangChain chains for general QA, KPI generation, and dashboards; updated ontology and prompts, and added tests to ensure reliability.

Activity

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Quality Metrics

Correctness82.2%
Maintainability83.8%
Architecture83.8%
Performance69.4%
AI Usage57.0%

Skills & Technologies

Programming Languages

Jupyter NotebookOWLPythonRDFTurtle

Technical Skills

API DevelopmentAPI IntegrationAPI InteractionBackend DevelopmentContext ManagementConversational AIData EngineeringData HandlingData ProcessingFastAPIGraph DatabasesLLM IntegrationLLMsLangChainLangchain

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

belgio99/smartfactory

Nov 2024 Dec 2024
2 Months active

Languages Used

PythonRDFJupyter NotebookOWLTurtle

Technical Skills

API DevelopmentData ProcessingFastAPIGraph DatabasesLLM IntegrationLLMs

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