Sr. Software / R&D Engineer at Cactus 07/2022-Present​

R&D engineer in the area of computer vision for oil & gas applications. Embedded modem software for satellite communications. Digital Twin software for system-wide simulation of a CubeSat mission. Software-defined Radio and layer 2 processing. Research, architecture and development of LLM applications.​

​Technical lead, Fullstack & Cloud Engineer at RMLab 04/2021–05/2022​

End-to-end Airline Revenue Management as-a-service Architecture. Responsibilities: architecture and development of high-performance distributed forecasting & dynamic programming optimization platform. Environment: C++17, Python, Bash, JS, Docker, ZMQ, Redis, GCP.​

​Predoctoral & Postdoctoral Researcher at Universidad Complutense de Madrid (01/2015-04/2021)​

Development of PhD thesis: User-defined execution relaxations for high-performance parallel computing. Internships: University of North Carolina at Chapel Hill (3 months in 2016) and Codeplay Software Ltd (4 months in 2017). Responsibilities: research, development, and public exposition of an approach towards performance-portable programming models for high-performance computing. 4 peer-reviewed scientific papers. Environment: C++17/20, CUDA, OpenCL, SYCL, Clang, Python, Bash, Docker.​

​CUDA Developer at Federico Santa María Technical University 05/2014–12/2014​

GPU development for 3D computational acoustics in academia. Responsibilities: development and testing of FDTD and PSTD algorithms for computational acoustics. 1 peer-reviewed paper. Environment: C, C++11, CUDA, Bash.​

​Intern Researcher at Physics Dept, Univ Complutense de Madrid 02/2013–06/2013​

Academic research about thermodynamic analysis of the Traveling Salesman Problem using Markov Chain Monte Carlo methods. Responsibilities: investigation of MCMC methods, novel model design satisfying Markov Chain properties on the TSP, parallel implementation in C++, scientific validation, and results exposition. Environment: C++11.​

​C++ Software Engineer at Universidad Complutense de Madrid 03/2011– 12/2012​

Development of metaheuristics-based solvers for the Capacitated Vehicle Routing Problem on parallel architectures for a logistics company. Responsibilities: investigation of state-of-the-art algorithms for the TSP, TSP, and CVRP problems, research on algorithmic improvements and parallelization on GPU architectures, mathematical optimization and Operations research, scientific validation, and results exposition. 1 peer-reviewed paper. Environment: C, C++11, CUDA.​

​Intern Researcher at Unversidad Politécnica de Madrid 09/2009-06/2010​

Academic research about GPU implementation of Smoothed Particle Hydrodynamics methods. Responsibilities: Implementation of the SPH method, implementation of different algorithmic proposals for GPU, examining various tradeoffs, scientific validation, and results exposition. 1 peer-reviewed paper. Environment: C, CUDA.