Andrea Balducci is a seasoned tech founder and CTO with over three decades of hands-on experience turning manufacturing challenges into digital products, and 14 years of formal professional experience driving R&D and product teams. He co-founded multiple companies including Nebula, where he’s building JARVIS.cloud to boost team and process efficiency, and has led digital transformation projects that deliver measurable production improvements. A pragmatic backend engineer, Andrea contributes to notable open-source .NET projects such as NEventStore and the official Elasticsearch .NET client, improving persistence reliability and advanced query capabilities. He’s active in regional tech communities (XPUG Marche, DotNetMarche, DevMarche), regularly speaks at events, and has helped shape technical literature through editorial reviews. Comfortable balancing strategy and code, he blends systems-level architecture with low-level implementation detail. Outside work he recharges through adventure sports and photography, a personal habit that mirrors his iterative, experimental approach to engineering.
14 years of coding experience
30 years of employment as a software developer
100/100 IT, 100/100 IT at TECNICO GESTIONE RETE DATI (Microsoft Certified System Engineer for Internet & Network Security)
Perito Commerciale Indirizzo Giuridico Economico Aziendale, Perito Commerciale Indirizzo Giuridico Economico Aziendale at ITC B. STRACCA
Contributions:32 commits, 2 PRs, 11 pushes in 2 years 5 months
Contributions summary:Andrea primarily focused on enhancing the MongoDB persistence layer for the .NET event store. They added new functionality related to checkpoint management, including implementing an optimistic loop with garbage collection and handling of unique keys. Furthermore, the user refactored field names, implemented various indexes for improved performance, and fixed a failing test related to checkpoint initialization. These changes improved the reliability and functionality of the persistence engine.
This strongly-typed, client library enables working with Elasticsearch. It is the official client maintained and supported by Elastic.
Role in this project:
Back-end Developer
Contributions:5 commits in 3 months
Contributions summary:Andrea primarily contributed to the implementation of Function Score Query features within the Elasticsearch .NET client. Their work involved adding new query types, including Gauss, Linear, and Exp decay functions, and adjusting the score mode functionality. These changes included modifications to the core query descriptor and related classes, along with corresponding unit tests. The user also renamed `FunctionScoreMode` in the API.
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