Matteo Pelati is a seasoned software architect, entrepreneur and engineering leader based in Singapore, with over two decades of experience building data-intensive systems and leading teams at scale. He co-founded LangDB—raising a $3M seed round—and architected a high-performance streaming SQL engine and real-time CDC platform in Rust, later pivoting to an enterprise AI gateway. At Goldman Sachs he now leads Agentic AI (SDLC) and created AgentGraph, a tool that fuses deep code intelligence and agent orchestration to enable autonomous, continuously validated software delivery. Matteo has run engineering organisations from lean 5-person squads to 130+ engineers across banking and telco, shipping mission-critical platforms using Spark, Kafka and modern Rust-based tooling. He contributes backend expertise to open-source projects like Dozer, showing hands-on systems work down to executor, aggregation and state-store design. Known for blending product-first thinking with low-level engineering rigor, he repeatedly turns complex analytics and ML requirements into production-grade, auditable platforms.
Dozer is a real-time data movement tool that leverages CDC from various sources and moves data into various sinks.
Role in this project:
Back-end Developer
Contributions:91 reviews, 78 commits, 65 PRs in 6 months
Contributions summary:Matteo contributed to the core backend functionality of Dozer by implementing features related to data movement and aggregation. The commits demonstrate expertise in the Rust programming language, with changes focusing on the `dag` and `aggregation` modules, including improvements to the executor and integration of a state store. Further work included the introduction of a `version` field to the `Record`, which indicates database operations and their order.
Contributions:16 reviews, 30 PRs, 71 pushes in 3 months
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