Francisco Espinosa

Developed simulation for Vibratory Bowl Feeders on C++ and using OpenGL library at the IWB Faculty (Institut für Werkzeugmaschinen und Betriebswissenschaften). Performed integration of simulation into Reinforcement Learning algorithms for choosing geometries for an optimal feeding process. * Projects hosted on Gitlab

Worked with a LiDAR ranging cloud-point sensor. that uses a Xilinx Zynq UltraScale+ MPSoC (Multi-processor system on chip) board as driving processing unit. I developed an ICP (Inter Process Communication) between the cores that compose the Zynq board: Cortex-A53 (APU) and the Cortex-R5 (RPU), for load balancing purposes, as the APU operations capacity reached a limit. I used Libmetal library as API on Baremetal OS, and successfully established a Communication across Processing Units

Developed code foundations for implementing a graphical Interface for the Invasive Computing project, developed at FAU, KIT and TUM

Operational Risks Management Training and management for norm ISO 3000:2009. Updates and testing for Business Continuity Plan (BCP). Control and risks evaluation for HR, Finance, Comercial, Administration and Supervision Department

Performed vehicle testing, validation. Testing and sensors’ data processing include: Acceleration Performance, Brake Stopping Distance, Transmission, Suspension, Fuel Emissions &Evaporation, Clutch Gradeability, Vehicle Durability, Vehicle Driveability, Noise & Vibration. Use of CAN protocol for vehicle maintenance. In charge of over 100 vehicle inventory with testing purpuses. Tier II and Trailer Tow certifications (Driving Skills) - MATLAB Report Generator : Automatically generate test reports