Fabio Cibecchini is a Lead Engineer with 11 years of experience building distributed systems, streaming pipelines and production ML integrations across Scala, Go, Python and Ruby on Rails. Currently heading the Unstructured Data engineering team at a FinCrime detection company, he architects scalable services that fuse advanced NLP into entity resolution and decision intelligence workflows for both batch and streaming use cases. He has a strong track record of reducing operational costs and increasing platform scalability—evidenced by cutting cloud spend and improving model observability at AYLIEN—while also simplifying developer experience through repeatable, production-grade integration patterns. Hands-on in DevOps and infrastructure-as-code, Fabio blends technical leadership with mentoring, and often contributes directly to complex system-level work rather than purely managing. Trained with a Master’s in Computer Science and Engineering, he brings a pragmatic approach to turning research-grade NLP into reliable, multi-tenant SaaS capabilities.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science and Engineering, Master's degree, Computer Science and Engineering at Università degli studi Roma TRE
A smart distributed crawler that infers navigation models of structured websites, used to cluster pages based on their structure and extract data from them.
Contributions:190 commits, 2 PRs, 11 pushes in 4 years
OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)
Contributions:11 reviews, 16 PRs, 14 pushes in 1 year 3 months
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