Embedded / Edge Engineer / Power Electronics Engineer, Electronic Development Engineer
With a strong foundation in electronics engineering, this profile covers the entire product development lifecycle—from initial concept and proof of concept to prototyping, firmware development, and final product validation. More than 50 embedded products have been successfully developed, incorporating analog and digital signal acquisition, voltage and current sensing, digital and analog I/O, and robust power supply designs. These devices often include communication interfaces using standard industrial protocols and gateway chips for seamless integration into broader automation systems. Experience includes not only hardware and firmware design but also execution of type tests, field trials, detailed documentation, operation and maintenance procedures, and ongoing product revision control. As a product engineer, responsibilities extend to full lifecycle support—continuously upgrading devices and maintaining their reliability and performance in the field. Power electronics is another core strength, with hands-on experience designing and commissioning various DC-DC converters, including both buck and boost topologies. Expertise spans across power stages for controlling generator field excitation, Graetz thyristor bridges for high-current applications, and full H-bridge drivers for AC squirrel cage motors, industrial crane DC motors, and brushless DC motors. A notable highlight includes the development and successful deployment of a 90/120 kVA 400 Hz aviation-grade power supply, converting standard 60 Hz input for aerospace ground support. High-precision analog design using operational amplifiers is a consistent part of the design methodology, ensuring low-noise signal conditioning and stability. All designs are approached with a focus on EMI compliance and certification standards to meet rigorous industrial and aerospace regulations. Complementing the hardware expertise is a focus on edge computing, particularly using NVIDIA Jetson AGX Orin and Jetson Super Nano platforms. These devices have been used to implement a dozen machine learning solutions, primarily focused on supervised learning algorithms tailored for computer vision and black box system identification. Applications include real-time defect detection, tool tracking, and process monitoring in production lines. The integration of AI models directly on embedded Jetson platforms ensures low-latency, high-accuracy performance in constrained environments, supporting both standalone and networked industrial applications.

📄 Public Article Associated: cavalcante_COBEP01.pdf

Control System Engineer
Extensive control systems expertise spans both classical and advanced modern techniques, applied across diverse industrial and embedded environments. Skills include implementation of PID, feed-forward, lead-lag compensators, state-space models, LQR, model predictive control (MPC), Smith predictors, adaptive systems, sliding mode control, and optimal control strategies. A wide range of AI-enhanced control approaches have also been applied, including expert systems, fuzzy logic, genetic algorithm-based optimizers, reinforcement learning, and black-box system identification. Nonlinear discrete-time control systems and white-box identification techniques—such as least squares and correlation-based methods—were thoroughly explored and validated. These control models were first developed and simulated in Labview, MATLAB, Scilab environments and customized programs, then discretized via Z-transforms for real-time deployment in microcontrollers, DSPs, and embedded processors, typically using periodic sampling via timer-based interrupts. A variety of IEEE standard and experimental control algorithms have been implemented and tested under real-world constraints, ensuring stability, robustness, and responsiveness in both low-latency and high-dynamics environments. Mathematical foundations supporting these implementations include numerical methods, stochastic process modeling, vector-space representations, and complex domain analysis. Control strategies were optimized not only for precision but also for resource constraints typical in embedded systems, resulting in efficient, scalable, and high-performance applications. This fusion of theoretical rigor and practical deployment enabled adaptive and intelligent control architectures suited to dynamic industrial systems, robotics, and high-speed mechatronic applications.

Power System Engineer
With over 20 years of experience in power systems, my background covers the design of electrical substations—including electromechanical systems, automation, SCADA, and electrical installations—along with owner’s engineering, control panels, protection systems, generator excitation systems, and hydro turbine speed governors. This includes both hardware and software development for regulation systems. Proven success in implementing steam turbine, photovoltaic (PV) solar, and wind farm projects further demonstrates strong capabilities not only in electrical engineering but also in leading multidisciplinary teams. Expertise extends to short-circuit and protection coordination studies, load flow analysis, transient stability assessments, and insulation coordination. More than 50 power plant installations and startups have been executed under my technical supervision, from equipment parameterization to hands-on site engineering. Deep familiarity with specification, procurement, factory acceptance testing (FAT), and successful project integration with hydroelectric utilities reinforces a well-rounded, end-to-end project delivery skill set. Feasibility studies for small hydro and PV solar systems are also a core part of my portfolio, including thorough evaluation of technical, economic, and regulatory conditions. Plant integration with existing operational and generation centers has been accomplished seamlessly, ensuring optimized system performance. Additionally, Level 2 and Level 3 SCADA integrations for remote operation have been deployed across multiple sites, enabling centralized control and monitoring. Hands-on experience with leading power system devices—including ABB, SEL, GE Energy, Reivax, and others—ensures effective multi-vendor system integration and reliability.