Kevin Laban is an HR technology strategist with 10+ years of experience translating complex business needs into scalable HR, talent and learning technology solutions at Unilever, partnering at C-suite level to shape multi-year global transformations. He combines deep domain knowledge across Workday, Cornerstone, Degreed and other HR platforms with hands-on programme delivery—resetting vendor relationships, stabilising high-risk projects and driving application simplification and recruitment tech change. Early career training in biological sciences and lab-based roles gives him a methodical, evidence-driven approach to problem solving, while a side-life as an embedded systems contributor (notably optimizing image processing in the OpenMV camera project) reveals an appetite for low-level performance tuning and pragmatic engineering. Known for pragmatic influence, strong cross-functional empathy and an external-facing view of emerging areas like AI, privacy and analytics, he consistently pushes for innovative journeys that create competitive advantage.
10 years of coding experience
5 years of employment as a software developer
BSc (Hons) Biological Sciences, BSc (Hons) Biological Sciences at Nottingham Trent University
HND Biology, HND Biology at Wolverhampton Polytechnic
Contributions:1 review, 9 commits, 37 PRs in 2 years 3 months
Contributions summary:Kevin primarily focused on optimizing the OpenMV camera module's image processing capabilities, particularly related to JPEG encoding and QR code detection. Contributions included speeding up the JPEG MCU capture process, and the implementation of faster bayer to YCbCr conversion for the JPEG encoder. The user also enhanced QR code processing by adding fast RGB to gray conversion and optimizing other image processing routines.
Control multiple OLED displays on one or more I2C buses simultaneously
Contributions:1 release, 13 commits, 1 PR in 11 months
adapwmsimultaneouslydisplaysi2c
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Kevin Laban - HR Technology Business Partner at Unilever