Embedded Systems Engineer in IOT

Hard Skills

- Embedded C/C++ & Python

- RTOS & Bare-metal Programming

- Protocols: MQTT, CoAP, Zigbee, Bluetooth Low Energy (BLE), LoRaWAN

- Wireless Modules & Sensor Integration

- Low-Power Design & Optimization

- Firmware Development & Debugging

- Cloud Integration & Edge Computing

- Security & Encryption (TLS, Secure Boot)

- Version Control: Git, GitLab CI/CD

- Hardware Platforms: ARM Cortex-M, ESP32, Raspberry Pi

Soft Skills

- Agile/Scrum Methodologies

- Problem-Solving & Critical Thinking

- Cross-Functional Collaboration

- Technical Documentation

- Continuous Learning & Innovation

- Client & Stakeholder Communication

*Senior Embedded IoT Engineer*

*Innovatech Solutions, San Francisco, CA*

July 2022 – Present

- Led development of a modular IoT platform using ARM Cortex-M processors and LoRaWAN for smart agriculture, increasing device deployment efficiency by 35%.

- Optimized real-time sensor data processing, reducing latency by 20% through tailored firmware updates and RTOS tuning.

- Implemented end-to-end security protocols, including secure boot and device attestation, resulting in zero security breaches over two years.

- Collaborated with cloud engineers to create scalable MQTT broker integrations, enabling remote firmware updates and diagnostics.

*Embedded Firmware Engineer*

*NextGen IoT Inc., Austin, TX*

August 2018 – June 2022

- Designed low-power Bluetooth-enabled wearable health monitors, improving battery life from 7 to 14 days.

- Developed custom Zigbee stack for smart home lighting, leading to a 15% reduction in communication overhead.

- Conducted rigorous debugging and validation using JTAG and logic analyzers, reducing hardware-related issues by 25%.

- Mentored junior engineers in embedded software best practices and RTOS troubleshooting.

*IoT Systems Developer*

*SmartTech Labs, Boston, MA*

June 2016 – July 2018

- Built IoT prototypes using Raspberry Pi and Python for environmental monitoring projects.

- Integrated sensor suites for air quality and humidity, enabling real-time data visualization on cloud dashboards.

- Emphasized scalable firmware architecture, facilitating rapid deployment of additional sensor nodes.

**Bachelor of Science in Electrical Engineering**

Massachusetts Institute of Technology (MIT)

Graduated: 2016

- Certified IoT Professional (CIoTP), IoT Academy, 2024

- ARM Cortex-M Microcontroller Programming, ARM, 2023

- Certified Information Systems Security Professional (CISSP), ISC², 2022

Smart Agriculture IoT Platform

- Developed a multi-zone irrigation control system that uses LoRaWAN sensors for soil moisture, weather data, and system status. Enabled over-the-air firmware upgrades and data analytics via edge computing devices for real-time decision support.

Edge AI-enabled Asset Tracking

- Implemented a fleet management system deploying embedded AI models on low-power devices for object recognition and anomaly detection, reducing data transmission and operational costs.

- **Embedded Platforms:** ARM Cortex-M, ESP32, Raspberry Pi 4

- **Development Environments:** VS Code, Keil MDK, PlatformIO

- **Protocols:** MQTT, CoAP, Zigbee, BLE, LoRaWAN

- **Security:** TLS, secure boot, hardware encryption modules

- **Cloud & Edge:** AWS IoT, Azure IoT Edge, Node-RED

- English (Native)

- Spanish (Proficient)