Jesus Gabriel Valero Marín

Jesus Gabriel Valero Marín  new_releases

About

Detail

IoT and Unity Developer
Buenos Aires F.D., Argentina

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Résumé

Jobs verified_user 0% verified
  • B
    Firmware Engineer
    BLOCKINAR
    Jan 2025 - Current (1 year 4 months)
  • P
    Unity Developer
    Pagie Portal
    Jul 2022 - Current (3 years 10 months)
    Front-end and back-end unity developer for a TBS videogame (2D)
  • Claro Argentina
    Engineer in terminal certification
    Claro Argentina
    Feb 2020 - Jul 2023 (3 years 6 months)
    • Updated software with latest patches in terminals.(Android and IOS) • Homologation of sim profiles • Development and tested of augmented reality app for android
  • J
    IoT Developer
    JPH LIONS LATAM
    Oct 2019 - Feb 2020 (5 months)
    • Development, managed installation, upgrade and deployment projects and provided on-site direction for field technician. • Wrote and maintained custom scripts (C++ for arduino and raspberry) to increase system efficiency and performance time. • IOT equipment development and maintenance (Raspberry and Arduino) • Provided technical support and troubleshooting to internal areas.
  • L
    Senior Field Technician
    Línea Comunicaciones SAS,
    Jul 2018 - Jul 2019 (1 year 1 month)
    • POS installation for Bancolombia and Aval group • Corrective and preventive maintenance de ICT 220-250 y Verifone VX520
  • U
    Intern
    UBIKME GPS
    Apr 2018 - Jun 2018 (3 months)
    Development of CNC interface, based on PLC, Arduino and mach3
Education verified_user 0% verified
  • Universidad Simón Bolívar
    Técnico superior universitario en tecnología electrónica, tecnología electrónica
    Universidad Simón Bolívar
    Jan 2012 - Jan 2018 (6 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • P
    Proyecto personal
    Aug 2023 - Current (2 years 9 months)
    developing an AI agent running DeepSeek R1 locally with Python/Django backend, SQLite for data storage and Godot frontend. developing an Access Control System with Facial Recognition, using Raspberry Pi 5 with Python/Django backend, SQLite database, Godot frontend and OpenCV.