Jeanderson Cândido is a software engineer with 13 years of experience specializing in JVM-based backend systems, developer tooling, and API/SDK integration, currently building quality gates and SDK generators at Adyen. He combines hands-on platform work—optimizing Gradle builds, authoring ErrorProne rules, and operating internal services—with a research background in program analysis and ML for software engineering from TU Delft. His contributions include speeding CI and local builds at scale (≈30% CI time reduction) and meaningful open-source work on Java static-analysis tooling (e.g., adding metrics to the popular ck metrics project). A two-time Google Summer of Code recipient and former researcher, he bridges academia and industry, publishing on log-based monitoring while preferring production impact over an academic career. Based in Amsterdam, he’s fluent in scaling tooling for mono-repos and automating large refactorings—skills born from tackling million-line codebases and developer productivity bottlenecks.
13 years of coding experience
7 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Universidade Federal de Pernambuco
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Universidade Federal de Campina Grande
Non-degree Computer Science, Non-degree Computer Science at Walsh University
Non-degree English as a Second Language, Non-degree English as a Second Language at Western Michigan University
Code metrics for Java code by means of static analysis
Role in this project:
Back-end Developer
Contributions:1 review, 12 commits, 6 PRs in 1 year 2 months
Contributions summary:Jeanderson primarily contributed to the implementation of code metrics for Java code. Their work focused on adding new metrics, specifically for counting log statements, and modifying existing code to include these metrics in the analysis. The user also updated tests to validate the new metrics and refactored code to improve readability and column alignment in output. This includes refactoring tests and modifying related files to integrate the new features.
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