Sergei Shimanski is a senior software engineer with over 12 years of experience building scalable, secure systems across health, gaming, aviation and finance, now contributing at REDCap Cloud after a long tenure at Exadel. He is a Java specialist (also fluent in Python and Rust) with deep hands-on expertise in Java EE/Spring ecosystems, distributed messaging, CI/CD and cloud deployments on AWS. Sergei has led teams and technical decisions, designing resilient workflows and resolving complex integration challenges in heterogeneous stacks from Oracle to Elasticsearch. An active backend contributor to the open-source CompreFace face-recognition project, he has practical experience merging and maintaining core services and dependency updates in production-grade systems. Based in Brest with a strong applied-mathematics background, he combines analytical rigor with a knack for proposing original solutions under changing requirements.
5 years of coding experience
13 years of employment as a software developer
Bachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at Belarusian State University
Contributions:3 reviews, 25 commits, 20 PRs in 25 days
Contributions summary:Sergei's primary contributions involved merging branches and resolving conflicts, primarily within the `java/api` directory. The commits indicate modifications to service classes (`FaceService`, `FaceVerificationProcessServiceImpl`, and others), suggesting work related to the core face recognition functionality. The changes included updates to plugin versions, suggesting integration and maintenance of external dependencies.
Leading free and open-source face recognition system
Contributions:2 commits in 3 days
face-recognitionfacerecognitionface-detection
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Sergei Shimanski - Senior Software Engineer at REDCap Cloud