Luca Buoncompagni
Ontology Engenieer at XTEL
Genoa, Liguria, Italy
Summary
👤
Senior🎓
Top SchoolLuca Buoncompagni is an ontology engineer and software developer with a PhD and a decade of experience building knowledge-driven systems, mobile apps, and backend architectures for healthcare, robotics, and smart environments. He blends academic research—publishing novel fuzzy-OWL frameworks, memory-inspired forgetting mechanisms, and a Java OWL API wrapper—with hands-on product work, shipping native iOS/Android apps and cloud-deployed LLM/RAG conversational agents. Comfortable across Python, Java, Kotlin and ROS, he designs modular architectures that make symbolic reasoning performant in real-world, sensor-driven settings. He has taught and supervised robotics and neural network courses, mentored graduate research, and translated academic prototypes into production-ready services. Known for fast learning and attention to detail, he now focuses on data management, AI architectures and knowledge representation while building semantic orchestrators for agentic AI.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Software Engineering, Doctor of Philosophy - PhD Computer Software Engineering at Università degli Studi di GenovaHigh School Diploma Computer Science and Electronics, High School Diploma Computer Science and Electronics at Itis Galileo Galilei ArezzoBachelor of Engineering (BEng) Automation Engineer Technology/Technician, Bachelor of Engineering (BEng) Automation Engineer Technology/Technician at Università di Siena
Italian, English
Github Skills (45)
ontologies9
oop9
semantic-web9
tiddlywiki9
owl9
mechanism9
scene9
client-library8
rdf8
multiclass-classification8
python-client8
gnome-shell7
semantic7
rates7
description-logics7
Programming languages (5)
Github contributions (5)
EmaroLab/scene_identification_tagging
Sep 2016 - Feb 2020
the implementation of a semantic scene recognition and learning mechanism
Contributions:1 release, 47 commits, 11 PRs in 3 years 6 months
pytorchmechanismscene-recognitiondeep-learningrecognition
EmaroLab/fuzzy_sit
Jun 2017 - Apr 2022
The Scene Identification and Tagging (SIT) algorithm based on Fuzzy Description Logics
Contributions:5 PRs, 15 pushes, 3 branches in 4 years 10 months
logicsfuzzydescription-logicsscenesit
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