Ezio Ignacio Jogna Prat
@ezioignaciojognaprat
I build embedded AI and industrial automation solutions for efficient, reliable manufacturing systems.
What I'm looking for
I've supported industrial digitalization and quality initiatives at Scania Argentina and Arca Continental–Coca-Cola, working with PLCs, computer vision systems, plant communications, and electrical automation panels.
At Scania, I implement and calibrate Keyence CV-X vision systems for the Piñón Duro production line, diagnose interoperability issues among Siemens S1200 PLCs, vision controllers, and IT systems, and develop engineering standards and technical instructions. I also coordinate technical project resources and suppliers for electrical material selection.
My Electronics Engineering thesis evaluates TinyML image-classification neural networks on ESP32 microcontrollers and PYNQ-Z2 FPGA hardware, using quantization, HLS, and performance analysis. I bring the same complete technical perspective to embedded systems, FPGA/VHDL design, and scalable industrial automation projects.
Experience
Work history, roles, and key accomplishments
Implemented and calibrated Keyence computer vision systems to optimize quality control in the Piñón Duro production line. Diagnosed and resolved communication faults between Siemens PLCs, vision controllers, and IT infrastructure, and developed engineering standards and technical documentation.
Education
Degrees, certifications, and relevant coursework
Universidad Nacional de Tucumán
Bachelor's Degree in Electronics Engineering, Electronics Engineering
2017 - 2026
Grade: 7.36/10
Bachelor's Degree in Electronics Engineering with a major in Industrial Automation. Final GPA: 7.36/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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