Mark Chen focused on integrating MAC-VO2 dense mapping mode into the castacks/AirStack repository, enabling production-ready mapping capabilities for robotics applications. He introduced the MAC-VO2 codebase, updated environment variables, and reconfigured Git submodules to support reproducible builds. Mark extended the visualization pipeline in RViz and enhanced the rerun-sdk to accommodate the new dense mapping mode, improving data fidelity and visualization for computer vision workflows. Working primarily in Python and Shell, he leveraged Docker and ROS2 to ensure a robust development environment. The work demonstrated depth in system integration and pipeline alignment, addressing the needs of advanced robotic mapping systems.