Gábor Antal is a talent acquisition consultant and technical recruiting leader based in Budapest with over a decade of experience building and scaling engineering teams across startups and enterprise clients. He progressed from hands-on sourcing to head of recruitment roles at IseeQ and now supports AI hiring at Perciv AI, demonstrating a strong blend of technical understanding and people leadership. Gábor pairs a humanities background (MA in English) with deep practical recruiting experience for complex technical roles—including machine learning, ADAS and cloud engineering—and has supported on-site recruitment for market leaders like Continental and Emarsys. He also contributes to open-source quality improvements in major cloud projects (notably OpenStack modules such as Swift, Cinder, Nova, Trove, and Glance), bringing an uncommon appreciation for code quality and test automation to technical hiring. Known for pragmatic process improvements and clear communication, he routinely bridges recruiter, engineering, and business needs to reduce time-to-hire for niche technical talent.
10 years of coding experience
3 years of employment as a software developer
Táncsics Mihály Gimnázium, Orosháza
Master of Arts (M.A.) English Language and Literature General, Master of Arts (M.A.) English Language and Literature General at University of Szeged
English Studies English language and literature, English Studies English language and literature at University of Szeged, Faculty of Arts
OpenStack Database As A Service (Trove). Mirror of code maintained at opendev.org.
Role in this project:
Backend Developer
Contributions:19 commits in 1 year
Contributions summary:Gábor primarily contributed to the OpenStack Trove project by fixing bugs, improving code quality, and enhancing logging. Their work included correcting typos in log messages, replacing `assertTrue` with `assertEqual` for more accurate testing, and fixing errors in error message logging. They also removed unreachable code and implemented more specific assertions in tests, making the codebase more robust and readable.
OpenStack Image Management (Glance). Mirror of code maintained at opendev.org.
Role in this project:
Backend Developer
Contributions:5 commits in 7 months
Contributions summary:Gábor primarily focused on improving the quality and maintainability of the codebase. They refactored unit tests, replacing generic assertions with more specific ones, enhancing readability and providing more informative error messages. Additionally, the user addressed indentation issues to improve code style consistency. Furthermore, they extracted HTTP response codes into constants, contributing to increased code readability.
opendevglanceimage-managementopenstack
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Gábor Antal - Talent Acquisition Consultant at Perciv AI