Anh Nguyen focused on enhancing localization robustness and map data validation in autonomous vehicle software over a two-month period. In technolojin/autoware.universe, he corrected the covariance calculation in the NDT scan matcher by refining the leaf-parameter formula, improving localization accuracy in point cloud processing using C++. The following month, working in autowarefoundation/autoware_tools, he developed Python-based tools to automate Transform Probability collection and validation for PCD maps, streamlining quality assurance and reducing manual effort. His work demonstrated depth in point cloud processing, configuration management, and scripting, addressing both algorithmic correctness and workflow automation for reliable robotics localization systems.