Hard Skills

- Embedded C/C++, C#, Python

- Real-Time Operating Systems (RTOS): FreeRTOS, Zephyr

- FPGA & SoC development (Xilinx, Intel FPGA)

- Machine Learning frameworks: TensorFlow Lite, Edge Impulse, TVM

- Hardware design: PCB design, schematic capture (Altium Designer, KiCad)

- Protocols: I2C, SPI, UART, CAN, Ethernet

- Wireless tech: Bluetooth LE, Wi-Fi, Zigbee

- Optimization for low-power and resource-constrained environments

- Cloud integration: AWS IoT, Azure IoT Edge

Soft Skills

- Problem-solving with a systems-thinking approach

- Cross-team communication and technical mentoring

- Agile development and continuous integration

- Technical documentation and knowledge sharing

- Customer-focused innovation mindset

*Senior Embedded Systems Engineer – AI Solutions*

*InnovateAI Technologies, San Francisco, CA*

June 2022 – Present

- Led development of edge AI modules integrated into autonomous drones, reducing latency by 30% via optimized firmware and hardware acceleration.

- Designed and deployed custom TinyML models for real-time object detection on resource-limited microcontrollers, achieving 85% accuracy.

- Collaborated with data scientists to adapt neural network models for embedded deployment, ensuring compatibility with constrained hardware environments.

- Mentored junior engineers on low-level embedded programming and efficient AI inference techniques.

*Embedded Firmware Engineer – IoT & AI Devices*

*NextGen Embedded, Austin, TX*

July 2018 – May 2022

- Developed firmware for smart wearable devices featuring embedded machine learning for activity recognition, increasing device battery life by 20%.

- Implemented secure OTA (over-the-air) firmware updates and integrated edge AI for on-device sensor data processing.

- Collaborated with hardware teams to optimize sensor interfacing and power management, resulting in improved device stability in field deployments.

- Contributed to open-source firmware libraries used across multiple product lines, enhancing reusability.

**Bachelor of Science in Electrical Engineering**

University of Texas at Austin, TX

*2014 – 2018*

- **Certified IoT Professional (CIoTP)** – IoT Association, 2023

- **Deep Learning Specialization** – Coursera (DeepLearning.AI), 2022

- **Embedded Systems Programming Certificate** – ARM Accredited Training, 2021

- **Autonomous Agricultural Drone**

Developed an embedded AI system enabling crops monitoring through real-time image recognition, increasing yield predictions accuracy by 40%.

- **Edge AI Smart Security Camera**

Created a compact, battery-powered security camera with embedded facial recognition, capable of operating seamlessly for 72 hours without cloud connectivity.

- Embedded Development: ARM Cortex-M, RISC-V, FPGA, MicroPython

- AI Frameworks: TensorFlow Lite for Microcontrollers, Edge Impulse, TVM

- Hardware Design: Altium Designer, KiCad

- Cloud Platforms: AWS IoT Core, Azure IoT Edge

- Version Control: Git, Jenkins, GitLab CI/CD

- English (Native)

- Spanish (Fluent)

*References available upon request.*