Daniel González Arribas contributed targeted engineering work to SciML/DataInterpolations.jl and SciML/DiffEqBase.jl, focusing on improving reliability and user experience in scientific computing workflows. He enhanced ConstantInterpolation extrapolation handling in Julia, introducing robust error signaling to prevent unsupported extrapolation cases and reduce runtime errors. In DiffEqBase.jl, Daniel stabilized the nonlinear interval solver by refining zero-crossing detection and correcting floating-point arithmetic, which improved convergence and numerical accuracy for interval-based simulations. His work demonstrated depth in numerical analysis, error handling, and project management, addressing edge-case failures and aligning package behavior with downstream user expectations for stability and correctness.