Giuseppe Bellamacina

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

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