Laksono Kurnianggoro
Senior Deep Learning Scientist at VIDA Digital Identity
Indonesia
Summary
👤
Senior🎓
Top SchoolLaksono Kurnianggoro is a Senior Deep Learning Scientist with 11 years of experience building production computer vision and ML systems across industry and research, currently leading eKYC solutions (OCR, ID verification, liveness) for Southeast Asian markets. He combines rigorous academic training from a PhD program at University of Ulsan with practical impact—designing face liveness systems guided by responsible AI principles and implementing monitoring and root-cause analysis for model performance. His contributions to OpenCV include adding a real-time KCF tracker and face landmark detector during Google Summer of Code projects, reflecting active, high-profile open-source work that improved tracking performance and descriptor frameworks. At Nodeflux he boosted annotation throughput and cut costs dramatically by engineering semi-automatic tools and mentored students on deployable OCR and occlusion projects. Comfortable moving models from prototype to production, he blends research-led innovation with pragmatic engineering for resource-constrained deployment across diverse Southeast Asian contexts.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at 울산대학교 / University of UlsanBachelor, IT, Bachelor, IT at Universitas Gadjah Mada
English, Indonesian, javanesse, Korean
Github Skills (9)
algorithm10
algorithms10
computer-vision10
opencv10
c-language10
cprogramming-language10
feature-extraction10
implement10
image-processing9
Programming languages (3)
Github contributions (5)
opencv/opencv_contrib
May 2015 - Oct 2017
Repository for OpenCV's extra modules
Role in this project:
Back-end Developer
Back-end DeveloperContributions:51 commits, 10 PRs, 48 comments in 2 years 5 months
Contributions summary:Laksono implemented and refined features for a KCF (Kernelized Correlation Filters) tracker within the OpenCV (Open Source Computer Vision Library) extra modules. They added a KCF tracker, which included the initial implementation of the tracker, added tutorial, and modified existing tracking source codes. Further development involved adding a resize feature to improve the processing speed. Additional enhancements included a framework for choosing the descriptor and feature compression methods.
pythoncmakecppcomputer-vision
kurnianggoro/opencv_contrib
Jul 2015 - Oct 2017
Contributions:204 commits, 6 PRs, 165 pushes in 2 years 3 months
pythoncomputer-vision
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