Siarhei Tsetserukou
Lead Software Engineer at Thinkbluehat
Poland
Summary
🤩
Rockstar🎓
Top SchoolSiarhei Tsetserukou is a Lead Software Engineer based in Poland with nine years of experience building data-intensive platforms and backend systems. He specializes in DWH/BI architecture and implementation across Snowflake, Azure SQL, Databricks and modern ELT/ETL stacks, while also maintaining strong hands-on skills in Python, Airflow, CI/CD and SQL Server performance tuning. Siarhei has led teams and supported L1–L3 operations in financial and retail analytics, blending production support discipline with feature development and client-facing troubleshooting. As a contributor to the open-source CompreFace face-recognition project, he focused on backend robustness—adding bulk-delete endpoints, cache-control, and plugin telemetry—showing an attention to reliability and observability beyond core feature work. Colleagues rely on him for pragmatic architecture choices and for translating complex data requirements into maintainable pipelines. He brings uncommon cross-domain experience from high-frequency trading systems to modern cloud data platforms, making him adept at both low-latency and large-scale analytical challenges.
9 years of coding experience
15 years of employment as a software developer
Belorussian state university of transport
Russian, English, Polish, Russian
Github Skills (12)
javas10
rest-api10
java10
spring-boot9
json9
docker8
dockers8
face-recognition7
computer-vision7
apim6
api6
api-design6
Programming languages (1)
Github contributions (5)
exadel-inc/CompreFace
Aug 2021 - Sep 2021
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 commits, 5 PRs, 3 pushes in 21 days
Contributions summary:Siarhei primarily contributed to the back-end of the "compreface" project. Their commits focused on adding and modifying functionality related to the "mask" plugin, including adding execution time and plugin versions. Furthermore, the user added a new endpoint for deleting images in bulk and improved existing functionality by adding cache control headers and improving error handling for subject deletion. The user also performed some refactoring and code cleaning tasks by fixing CRLF to LF.
face-mask-detectionface-verificationinsightfaceface-recognitionrecognition
prosis6/DocHelper
Mar 2017 - May 2017
Contributions:19 pushes, 1 branch in 1 month
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