Gavin Gao
Algorithm Engineer at Chervon Group
Chaoyang District, Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolGavin Gao is an Algorithm Engineer with 11 years of hands-on experience building CV and SLAM systems for XR and robotics applications, from mobile robots and drones to AR/VR platforms. He has shipped VIO/vSLAM, obstacle avoidance, semantic perception and visual object localization features in commercial products, and has deep experience porting and optimizing SLAM for ARM/Android and wide-angle camera models. Gavin's open-source work on IMU + sensor fusion (ESKF/IEKF/UKF variants) shows practical expertise in Kalman-filter state design and measurement updates, and he often bridges research-level algorithms with production constraints. Based in Chaoyang, Beijing, he pairs strong C++ and embedded-software skills with system-level insight into sensor calibration and SDK integration (ARCore/ARKit/HoloLens2). Notably, he has a track record of diagnosing and fixing long-standing build/runtime issues in legacy SLAM codebases, accelerating project delivery beyond initial expectations.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Automation, Bachelor's degree, Automation at Yanshan University
Chinese, English
Stackoverflow
359reputation
273kreached
9answers
0questions
Github Skills (18)
imu10
kalman-filter10
sensor-fusion10
c-language9
eigen9
cprogramming-language9
data-processing8
signal-processing8
sensor8
video-streaming6
latex6
pgf6
windows6
opencv6
tikz6
Programming languages (7)
Github contributions (5)
cggos/imu_x_fusion
Jul 2020 - Nov 2022
IMU + X(GNSS, 6DoF Odom) Loosely-Coupled Fusion Localization based on ESKF, IEKF, UKF(UKF/SPKF, JUKF, SVD-UKF) and MAP
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 reviews, 141 commits, 62 PRs in 2 years 3 months
Contributions summary:Gavin primarily worked on implementing and modifying a Kalman filter (KF) for sensor fusion, specifically focusing on IMU and visual-inertial odometry (VIO). They updated and refined the KF implementation within the `imu_gnss_fusion` and `imu_vo_fusion_node` source files. This involved changes to the state representation, prediction steps, and measurement update procedures within the KF framework. Furthermore, they introduced a new node for fusing IMU and VO data.
imusensor-fusionloosely-coupled6dofcoupled
cggos/ThirdPartyToolsJava
Sep 2016 - Jul 2022
Third-party Plug-ins and Tools for Development with Java.
Contributions:2 PRs, 8 pushes, 2 branches in 5 years 10 months
partyinsplug-insjavaplug
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.