Worked on the jax-ml/jax repository to enhance the reliability and user experience of JAX’s jnp operations under JIT transformations. Focused on improving error handling and documentation for dynamic-shape scenarios, the work clarified error messages—particularly introducing ConcretizationTypeError for missing static sizes in jnp.compress and jnp.extract—so users receive actionable guidance instead of opaque internal errors. Added targeted tests to validate error paths and updated documentation to align with similar APIs, helping users navigate shape-dynamic workflows more effectively. Leveraged Python, JAX, and numerical computing expertise to reduce debugging time and improve the overall developer experience for dynamic-shape operations in JAX.