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  • Centro Brasileiro de Pesquisas Físicas — CBPF
  • Manaus, Amazonas
  • 04:32 (UTC -04:00)
  • LinkedIn in/andre-matos-06809aa1

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andrematos79/README.md

André Gama de Matos

Electronics Test & R&D Engineer

Embedded Systems | Test Automation | Computer Vision | Industrial AI | Hardware–Software Integration

I am an Electronics Test and R&D Engineer with 26 years of experience in the electronics industry, working across Test Engineering, Product Engineering, NPI, Reliability, Failure Analysis, industrial automation, and Research & Development.

My background combines extensive knowledge of electronic products and manufacturing processes with software development, embedded systems, computer vision, Artificial Intelligence, and hardware–software integration.

Current Activities

  • Resident Researcher in Microelectronics at CBPF
  • M.Sc. Candidate in Electrical Engineering at UEA
  • Research in embedded systems, digital design, computer vision, and industrial automation
  • Development and validation of technology solutions for manufacturing environments

Core Expertise

  • Electronics Test Engineering
  • Product Engineering and NPI
  • Research and Development
  • Test Automation and Industrial Traceability
  • Embedded Systems and IoT/IIoT
  • Computer Vision and Industrial AI
  • Hardware, Firmware, and Software Integration
  • Reliability, Troubleshooting, and Failure Analysis
  • Digital Design, SystemVerilog, RTL, and Verification

Featured Projects

SVC Springs

Computer vision system for automated spring inspection in electronic chargers, developed as part of my master’s research and registered with the Brazilian National Institute of Industrial Property — INPI.

SVC USB

Multi-product system for automated inspection of USB-A and USB-C connectors using Deep Learning, industrial traceability, and production-line integration. Registered with INPI.

SAPA IoT

Embedded platform for intelligent automation, control, and energy management of industrial equipment using IoT/IIoT technologies.

SPI Master Controller

8-bit SPI Master controller developed in SystemVerilog, including RTL design, testbench, full-duplex verification, and simulation using Cadence Xcelium.

Technologies

Python C/C++ OpenCV TensorFlow Keras Linux
Embedded Systems IoT/IIoT SystemVerilog RTL Cadence
Industrial Automation Computer Vision Deep Learning

Research and Intellectual Property

  • Software registrations granted by INPI
  • Research and development of AI-based industrial inspection systems
  • Technical documentation, experimental validation, and technology transfer
  • Microelectronics research involving digital circuits, ASIC design, and communication protocols

Professional Interests

I am interested in opportunities in Test Engineering, Product Engineering, Embedded Systems, and Research & Development, especially in environments focused on innovation, industrial automation, electronics, and practical applications of Artificial Intelligence.

Connect with Me

LinkedIn

Pinned Loading

  1. sapa-iot sapa-iot Public

    Smart Autonomous Power Amplifier (SAPA IoT) – ESP32-based embedded system for autonomous power control and energy management of industrial audio amplifiers using IoT/IIoT, sensor-driven automation,…

    C++

  2. visao-pc-inspecao-molas-dual visao-pc-inspecao-molas-dual Public

    Sistema de inspeção visual de molas (DUAL) com Streamlit, OpenCV e TensorFlow.

    Python

  3. visao-pc-inspecao-usb visao-pc-inspecao-usb Public

    Multi-product computer vision system for automated USB-A and USB-C connector inspection using Deep Learning, industrial traceability, and production-line integration.

    Python