RAPOSa is a state-of-the-art global polynomial optimization solver. My core responsibility is engineering the native C++ interfaces required to seamlessly connect it with industrial mathematical engines (IPOPT, Knitro, Mosek, and Clarabel). Furthermore, I am implementing a new Second-Order Cone Programming (SOCP) input system to refine mathematical relaxations using conic constraints. The C++ codebase is compiled via CMake and orchestrated using Python automation scripts. Version control is managed through a self-hosted GitLab instance, granting us unlimited capacity to execute automated CI/CD benchmarking directly on the Galicia Supercomputing Center (CESGA) cluster infrastructure. While currently operating in a private repository, there is an established roadmap for a future open-source release. Our ongoing advancements will be formally presented by my mentors at the 24th World Conference of the International Federation of Operational Research Societies (IFORS 2026) in Vienna, Austria.