Iot Engineer In Retail Resume Example

Professional ATS-optimized resume template for Iot Engineer In Retail positions

John Doe

IoT Engineer – Retail Solutions

Email: john.doe@example.com | Phone: (123) 456-7890 | LinkedIn: linkedin.com/in/johndoe | Location: New York, NY

PROFESSIONAL SUMMARY

Innovative IoT Engineer with over 5 years of experience designing and deploying connected retail solutions. Skilled in integrating IoT sensors, edge devices, and cloud platforms to optimize inventory management, customer experience, and operational efficiency. Adept at cross-functional collaboration, with a focus on scalable, secure, and sustainable IoT architectures. Passionate about leveraging emerging technologies like AI and 5G to transform retail environments into intelligent, data-driven spaces.

SKILLS

**Hard Skills:**

- IoT Device Development & Integration

- Edge Computing & Data Processing

- Real-time Data Analytics

- Wireless Protocols (BLE, Zigbee, LoRaWAN, NB-IoT)

- Cloud Platforms (AWS IoT, Azure IoT Hub, Google Cloud IoT)

- Microcontroller Programming (ESP32, Raspberry Pi)

- API & MQTT Protocols

- Security & Data Privacy in IoT

- Firmware & Embedded Systems

**Soft Skills:**

- Problem Solving & Critical Thinking

- Project Management & Agile Methodologies

- Cross-Functional Collaboration

- Customer-Centric Design

- Technical Documentation & Training

- Innovation & Adaptability

WORK EXPERIENCE

*IoT Solutions Engineer | RetailTech Solutions, New York, NY*

June 2022 – Present

- Led the design and deployment of a smart shelf system utilizing RFID sensors and IoT gateways to enable real-time inventory tracking across 150+ retail stores.

- Developed edge computing models for on-site data analysis, reducing cloud data transmission by 40%, and improving response times for stock alerts.

- Implemented end-to-end security protocols, including encrypted device communication and role-based access controls, safeguarding customer and store data.

- Collaborated with AI teams to integrate predictive analytics, achieving a 25% reduction in stockouts and out-of-stock turn prediction accuracy improved by 15%.

*IoT System Developer | SmartRetail Innovators, Chicago, IL*

August 2019 – May 2022

- Designed IoT sensor networks for dynamic pricing and customer behavior analysis, collecting data via BLE and LoRaWAN in a proof-of-concept setup.

- Built custom firmware for microcontrollers (ESP32) to streamline sensor data collection and upload to cloud databases.

- Partnered with UI/UX designers to develop dashboards enabling real-time monitoring of store foot traffic, leading to optimized staff deployment.

- Conducted pilot projects integrating RFID scanners and IoT beacons, which increased checkout efficiency by 20%.

*Embedded IoT Engineer | Retail Innovations Corp., San Francisco, CA*

June 2017 – July 2019

- Developed low-power embedded systems for smart shelving units capable of detecting product presence and environmental conditions.

- Integrated wireless communication modules, improving device connectivity range and reliability in busy retail environments.

- Led firmware updates and troubleshooting, significantly reducing downtime and maintenance costs.

EDUCATION

**Bachelor of Science in Electrical Engineering**

University of Illinois, Urbana-Champaign | Graduated 2017

CERTIFICATIONS

- AWS Certified IoT Developer – Specialty (2023)

- Certified Embedded Systems Engineer (2021)

- Cloud Security Alliance (CSA) Certificate for IoT Security (2024)

PROJECTS

- **Smart Inventory Management System:** Developed a comprehensive IoT ecosystem combining RFID sensors, microcontrollers, and cloud analytics resulting in near real-time inventory visibility, reducing manual counts by 60%.

- **Customer Behavior Analytics Platform:** Integrated Bluetooth beacons and mobile app data to map customer movement patterns, informing store layout redesigns that increased sales per visit by 12%.

- **Energy-Efficient Retail Lighting:** Implemented IoT-based adaptive lighting that adjusts brightness based on occupancy and ambient conditions, cutting energy consumption by 18%.

LANGUAGES

- English (Native)

- Spanish (Fluent)

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