Worked on enhancing numpy’s core sorting performance by implementing a type-specific quicksort dispatch optimization in the numpy/numpy repository. This involved refactoring the quicksort dispatch logic to use compile-time branching with C++17’s if constexpr, which reduced runtime overhead and enabled more efficient inlining for type-specific sorting paths. The approach improved throughput for numeric workloads without introducing any API changes, aligning with numpy’s performance-driven goals. Leveraging skills in C++ programming, algorithm optimization, and performance tuning, the work modernized the sort engine’s codebase, making it more maintainable and readable while directly contributing to the project’s core performance objectives.