Hey! Iβm Rafael Gonzalez β an electronics engineer passionate about embedded systems, IoT solutions, and AI integration.
I enjoy debugging low-level firmware, optimizing real-time systems, and making hardware and software work in harmony.
Outside work, I explore embedded ML, IoT sensor automation, and open-source projects.
π Completed Global Summer Institute (Big Data & AI) at UT Austin, top marks in Python and AI modules.
Current focus: low-power firmware β’ BLE & IoT protocols β’ embedded ML β’ field integration
| Category | Skills & Tools |
|---|---|
| Languages | C, C++, Python, MicroPython, JavaScript |
| MCUs | MSP430, ESP32, RSL10, STM32, Arduino |
| Protocols | UART, SPI, I2C, BLE, LoRa, Cellular |
| AI/ML | TensorFlow, PyTorch, scikit-learn, FastAPI, Azure AI |
| Software & DevOps | Git, Docker, Node.js, PostgreSQL, CCS, VS Code, Vivado |
| Other Tools | FreeRTOS, PCB Design, JTAG Debugging, Power Electronics |
| Project | Description | Link |
|---|---|---|
| ESP32 AC Motor Controller | Real-time AC motor speed control using TRIAC phase-angle modulation | GitHub |
| RSL10 Blinky RTT Debug | LED control for ARM Cortex-M3 with real-time SEGGER RTT monitoring | GitHub |
| Embedded BSP ESP32 & PIC18F | Board Support Package for hardware abstraction layer | GitHub |
| Multi-Personality Chatbot | AI chatbot with multiple personalities using Python & Streamlit | GitHub |
| Embedded ML Temperature Monitor | Microcontroller ML (K-Means & KNN) for real-time classification | GitHub |
| UT Austin Big Data Analysis | R & SQL predictive modeling and data visualization projects | GitHub |
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Implementation & System Integration Engineer @ IMTECH (Sep 2025 β Present)
Led MSP430 and RSL10 firmware integration, validated hardware, and optimized workflows. -
Electrical Engineer Intern @ BALSAS GmbH (Germany) (Jan β Jun 2025)
Coordinated residential electrical projects under DIN VDE standards, improving process efficiency. -
Hardware Implementation Engineer @ FAHR Electronic Systems (May β Oct 2024)
Developed ESP32 embedded solutions with LoRa, BLE, OTA, and real-time image recognition. -
Electronic Technician @ FAHR Electronic Systems (Jan 2023 β Nov 2023)
Tested IoT PCBs, improved assembly and debugging workflows, reduced field debugging time by 25%.
B.Sc. in Electronic Engineering β Chihuahua Institute of Technology (2020β2024)
GPA: 90.83 / 100 β’ Minor: Intelligent Embedded Systems
Certificate β Global Summer Institute (Big Data & AI) β UT Austin (Summer 2025)
FulbrightβCOMEXUS Scholar β’ Applied ML, AI, Python, and Big Data projects
Microsoft Azure Fundamentals β’ CompTIA Security+ (in progress) β’ Power BI β’ Azure AI
Node.js β’ .NET MAUI β’ PMI Project Management Foundations β’ Lean Six Sigma White Belt
πͺπΈ Spanish (Native) β’ π¬π§ English (C1) β’ π©πͺ German (A2)


