Christie Jacob
Computer Vision Engineer at Kornia AI
Southampton, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolChristie Jacob is a computer vision research engineer with 10 years of experience working at the intersection of machine learning and classical vision, specializing in real-time pose estimation and SLAM. As a core developer on the widely used Kornia geometric computer vision library and a CV engineer at Audioscenic, she bridges research and production, contributing quaternion axis-angle routines, slerp, and right/left Jacobian implementations that improved numerical robustness and performance. Her work spans geometry, optimization theory, state estimation and map representations, with practical delivery on visual-inertial odometry and segmentation systems. Based in Southampton and educated at Cochin University of Science and Technology, she also mentors OSS contributors through roles like Kornia GSoC admin, often tackling subtle low-level numerical bugs that make large-scale spatial AI systems reliable in real time.
10 years of coding experience
6 years of employment as a software developer
Nalanda Public SchoolBachelor's degree, Information Technology, Bachelor's degree, Information Technology at Cochin University of Science and Technology
English, Malayalam
Github Skills (13)
computer-vision10
pytorch10
deep-learning10
python10
quaternions10
deep-learning-ai10
pytest9
algorithms8
data-structures8
algorithm8
datastructure8
data-structure8
datastructures8
Programming languages (6)
Github contributions (5)
kornia/kornia
Sep 2022 - Jan 2023
🐍 Geometric Computer Vision Library for Spatial AI
Role in this project:
ML Engineer
ML EngineerContributions:82 reviews, 64 commits, 35 PRs in 4 months
Contributions summary:Christie primarily focused on implementing and refining functionality related to quaternions within the Kornia library, a geometric computer vision library. They addressed bug fixes, notably a quaternion index issue, and introduced new features such as methods for axis-angle representation, spherical linear interpolation (slerp) and right/left Jacobian implementations. The commits involved modifying and adding tests to support the quaternion-related operations and liegroup functionalities, including improving performance.
pytorchdifferentiablepythonvisiondeep-learning
cjpurackal/m2det-tf
Mar 2019 - Sep 2022
Tensorflow 2.0 implementation of m2det
Contributions:48 commits, 6 PRs, 42 pushes in 3 years 6 months
tensorflow-2-0tensorflow-2tensorflowtensorflow2
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