Haritha Jayasinghe
Chief Information Officer
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolHaritha Jayasinghe is a PhD candidate and Chief Information Officer with nine years’ experience applying 3D data processing and deep learning to industrial digitisation and construction monitoring. She combines academic research at the University of Cambridge (MRes → PhD) with hands-on engineering, contributing performance-focused changes to the widely used Point Cloud Library, including GPU-accelerated octree search work from Google Summer of Code. Her applied roles have spanned scalable point-cloud change detection, vehicle-damage CV for insurance, and privacy analysis for mixed-reality point-clouds, demonstrating a rare mix of low-level C++/CUDA optimization and higher-level ML research. Based in Cambridge, she’s passionate about translating cutting-edge computer vision research into robust, production-ready infrastructure for the built environment.
9 years of coding experience
2 years of employment as a software developer
BSc Engineering, Computer Science, BSc Engineering, Computer Science at University of MoratuwaPhD, ENGINEERING, PhD, ENGINEERING at University of CambridgeThe Chartered Institute of Management AccountantsGCE Advanced level, Maths, Chemistry, Physics, GCE Advanced level, Maths, Chemistry, Physics at D.S. Senanayake College
Stackoverflow
11reputation
30kreached
1answer
1question
Github Skills (13)
pcl10
cpp10
point-cloud10
cplus10
data-structure9
algorithm9
data-structures9
algorithms9
pytorch6
recurrent-neural-networks6
lstm6
python6
postfix-notation6
Programming languages (11)
Github contributions (5)
PointCloudLibrary/pcl
Jun 2020 - Oct 2022
Point Cloud Library (PCL)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:24 reviews, 50 commits, 28 PRs in 2 years 4 months
Contributions summary:Haritha made several commits focusing on refactoring and improving the code related to point cloud processing in the Point Cloud Library (PCL). These changes included switching tests to use indices, adding an option to choose `pcl::index_t` while compiling, and modifying index types for various structures within the library. Furthermore, the user made several commits that modified the index type of PCLPointField, and other data structures such as PCLImage and Correspondence. This suggests a focus on improving the underlying data structures and ensuring the library's performance and flexibility.
cpppoint-cloud-libraryc-plus-pluscomputer-visionpcl-library
haritha-j/pcl
Mar 2020 - Sep 2020
Point Cloud Library (PCL)
Contributions:104 commits, 117 pushes, 29 branches in 5 months
point-cloud-librarypcl-librarypclpointpoint-cloud
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