Giuseppe Bellamacina

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About Me

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👋 Giuseppe Bellamacina
AI Engineer
whoamiI'm an AI Engineer specialised in building LLM-based systems for information retrieval, structured reasoning, and production deployment.
nowI currently work on AI systems deployed in operational environments, including projects for public healthcare organisations and the Italian Air Force Academy.
focusMy work spans multi-agent architectures, Retrieval-Augmented Generation (RAG), structured query generation in SQL, graph databases (Cypher) and semantic ontology systems (SPARQL), through to model adaptation via fine-tuning, reinforcement learning, and knowledge distillation.
buildI have experience building and deploying AI systems using frameworks such as LangGraph and LangChain, with a strong focus on scalability, reliability, and system behaviour under real-world conditions.
infraOn the infrastructure side, I have worked with on-premise multi-GPU environments (H100, L40S), inference services with vLLM and Unsloth, vector databases such as FAISS and Chroma, graph databases such as Neo4j, and REST APIs built with FastAPI. I also have experience with AWS-based cloud systems.
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Experience & Education

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Professional Experience: 3 years and 5 months

2025 - Present

Master's Degree in Machine Learning and Artificial Intelligence

Università degli Studi di Catania

Advanced studies in cutting-edge AI technologies and methodologies

Deep Learning and Neural Network Architectures
Natural Language Processing and Computer Vision
Reinforcement Learning and Multi-Agent Systems

Education

September 2025 - Present 1 year and 3 months

AI Software Engineer

RICCA IT

Design and development of LLM-based AI systems and multi-agent architectures for complex reasoning and decision-making workflows

Design and development of LLM-based AI systems and multi-agent architectures for complex reasoning and decision-making workflows
Development of scalable Retrieval-Augmented Generation (RAG) pipelines, including data ingestion, indexing, retrieval orchestration, and contextual reasoning
Implementation of structured reasoning workflows integrating vector search, SQL querying, graph databases, and semantic systems
Architectural refactoring and integration of distributed AI modules into cohesive, production-ready systems focused on scalability and maintainability
Research, evaluation, and prototyping of emerging AI techniques to improve robustness, interpretability, and system reliability under real operational constraints
Collaboration with cross-functional teams for end-to-end development, validation, and deployment of AI solutions

Work

June 2023 - July 2025 2 years 2 months

AI/ML Engineer

IntelliSync

Research and development of AI solutions based on LLMs and multi-agent architectures, with a focus on scalable and domain-specific systems

Research and development of AI solutions based on LLMs and multi-agent architectures, with a focus on scalable and domain-specific systems
Design and implementation of Retrieval-Augmented Generation (RAG) pipelines and functional prototypes for validating AI-driven workflows and technical approaches
Development of predictive models and anomaly detection systems on large-scale industrial datasets from wind turbines, using neural networks and machine learning techniques
Analysis of operational and telemetry data to identify energy losses, anomalous patterns, and predictive maintenance signals
Collaboration on AI solutions and data-driven systems connected to industrial and operational environments

Work

2021 - 2024