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.
- Electronics Test Engineering and R&D at Instituto Conecthus, working on product test support, development of new test solutions, test automation, embedded systems, sensors, Python/C++, and computer vision for manufacturing environments.
- Resident Researcher in Microelectronics at CBPF, working with digital design, SystemVerilog/RTL, verification, communication protocols, and data-conversion systems.
- M.Sc. Candidate in Electrical Engineering at UEA, researching Artificial Intelligence and Computer Vision applied to automated industrial inspection.
- Development and validation of industrial technology solutions involving Test Engineering, Embedded Systems, IoT/IIoT, automation, traceability, and hardware–software integration.
- 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
Industrial IoT monitoring and traceability system for solder paste storage, integrating ESP32-based sensing, USB/Serial communication, a Python/Streamlit dashboard, operator authentication, FIFO inventory control, alarm/event logging, reporting, and LAN access. Registered with the Brazilian National Institute of Industrial Property — INPI.
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.
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.
Embedded platform for intelligent automation, control, and energy management of industrial equipment using IoT/IIoT technologies.
8-bit SPI Master controller developed in SystemVerilog, including RTL design, testbench, full-duplex verification, and simulation using Cadence Xcelium.
Python C/C++ OpenCV TensorFlow Keras Linux
Embedded Systems IoT/IIoT SystemVerilog RTL Cadence
Industrial Automation Computer Vision Deep Learning
- Software registrations granted by the Brazilian National Institute of Industrial Property (INPI), including SAMSP, SVC Springs, and SVC USB.
- M.Sc. research in Electrical Engineering focused on Artificial Intelligence and Computer Vision applied to automated industrial inspection.
- Resident research in Microelectronics, involving digital circuit design, RTL/SystemVerilog, verification, communication protocols, and development activities related to data-conversion systems.
- Development and experimental validation of industrial R&D solutions integrating embedded systems, sensors, automation, traceability, and hardware–software integration.
- Technical documentation, intellectual property protection, experimental validation, and preparation of technologies for industrial deployment.
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.