Senior Computer Vision Software Engineer Ph.D. Robotics (HKUST UAV-group) Topics: Computer Vision, Robotics, Cloud Vision Data Processing
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MagicLeap
Backend Engineer
June 25, 2026 – Present
edge_alignment
November 14, 2018 – November 14, 2018
Clone of https://github.com/mpkuse/edge_alignment
View Projectcerebro
October 29, 2018 – February 7, 2020
Intelligent place recognition module for vins-fusion
View Projectsolve_keyframe_pose_graph
June 7, 2018 – December 7, 2019
A kidnap-aware multi-threaded node to solve 6DOF posegraph slam. Needs poses at each node (subscribes to) and relative positions at edges. Maintains an optimized pose graph. Has support for recovery from kidnap
View Projectadvanced_techniques_for_curvefitting
May 17, 2018 – July 2, 2020
Advanced Technique for Curve Fitting
View Projectrobust_feature_matching
May 10, 2017 – April 24, 2018
Basic demo of Vector Field Consensus method for image keypoint matching
View Projecttoy-pose-graph-optimization-ceres
April 29, 2017 – April 19, 2018
toy SLAM pose graph optimization using manhattan dataset and ceres-solver
View Projectcartwheel_train
January 6, 2017 – June 29, 2020
NetVLAD based weakly supervised learning whole image descriptor with street view data
View Projectedge_alignment
August 2, 2016 – February 12, 2019
Ros package for Edge Alignment with Ceres solver
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily concentrated on robotics, SLAM, and computer vision, primarily using C++ and Python. While this demonstrates deep technical expertise in a specific domain, it suggests a potentially narrow focus for a general 'Backend Engineer' role. The lack of diverse project types (e.g., web services, distributed systems, databases) might indicate a less direct cultural fit for a broader backend engineering team without a strong robotics/vision component. The single professional experience entry lacks detail to assess alignment with typical backend engineering practices.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects are highly technical and individual-focused, providing no insight into collaboration, communication, or problem-solving approaches in a team setting.