Industrial engineer working at the intersection of software, machine learning and physical systems. Eight internships across energy, steel, automotive, logistics and aerospace. Two hackathon wins. One satellite on orbit.
Industrial engineer trained at ICAI Comillas in Madrid, with a research year at the University of Illinois Urbana-Champaign and a dual master’s in Industrial Engineering and Smart Industry.
My work has spanned energy grids at Endesa and Enagás, steel logistics at Acerinox, warehouse automation at ID Logistics, digital twins at Accenture, automotive AI at Grupo Antolín, robotics research at UIUC, and autonomous driving at ARRK Engineering.
I ship production Python, build the simulators and optimisers that engineering teams actually use, and work equally with CAD files, SCADA screens and neural networks. Comfortable in Spanish, English and French.
Eight roles across four countries. Energy, steel, automotive, logistics, aerospace research, and autonomous driving. Select a row for the full brief.
A Python planning tool for steel distribution across Europe. Optimises ship, truck and container routing under capacity, time-window and cost constraints. First prize at the 9th Smart Industry Hackathon; deployed internally at Acerinox.
A ROS and Gazebo simulation environment for benchmarking machine-learning control policies on a hill-climbing vehicle. Quantifies convergence time, policy stability and the gap between textbook MDP formulations and wheeled-robot dynamics. Bachelor’s thesis, UIUC.
A Python simulator of a distribution centre operating Locus cobots alongside human pickers. Models pick paths, demand waves and operator-to-cobot ratios to minimise cycle time. Used to size cobot fleets for operational distribution centres.
Payload design, integration and pre-flight verification for a student satellite studying solar cosmic rays from Extremely Low Earth Orbit. Launched aboard Northrop Grumman NG-11 to the International Space Station. Returned seven days of telemetry. Collaboration with NASA and XinaBox.
A natural-gas transport network modelled on Microsoft Power Platform, acting as a redundancy layer over SCADA. Provides a second screen when the primary fails and a reference for reconciling flow anomalies across the national network.
Elected academic representative
ROS/Gazebo RL benchmarking
Spacetoast Rocket programme
Student payload, LEO mission
The interesting problems are always at the boundary of the unknown.
Jaime Jarauta Gastelu is an industrial engineer and software developer from Madrid, focused on machine learning, digital twins and optimisation for physical systems.