Graduate IoT Engineer with a solid foundation in Electronics and Communication and an MSc in Internet of Things. Skilled in embedded C++ development, real-time systems, and hardware-software integration. Experienced in wireless communication protocols (e.g., CAN, UART, I2C), model-based design, and secure, standards-compliant IoT applications. Proven ability to develop and test embedded platforms focused on energy efficiency, performance, and user experience. Passionate about advancing in-vehicle technology and contributing to cutting-edge automotive solutions in dynamic, cross-functional teams.
MSc Project Dissertation Comparison of Wireless Protocols in Smart Heart Rate Monitoring Wearables
• Executed comprehensive protocol testing and performance analysis of Wi-Fi, Zigbee, BLE, and LoRaWAN using ESP32 and MKR WAN 1300 test setup configuration • Led systematic measurement campaigns to evaluate wireless communication standards • Conducted performance testing including power consumption, signal strength, and latency measurements using laboratory equipment, documenting detailed test procedures and results • Created technical reports analyzing protocol compliance with Microcontroller and sensors, demonstrating strong documentation and analytical skills
E-book Android Application Part of the coursework in MSc program module
• Created an Android application for online book readers using Kotlin in Android Studio
• Developed a user-friendly interface that connects to a back end service, demonstrating proficiency in app development and REST API integration
• Managed user categorization and data persistence, relevant to optimizing energy efficiency through data management
Voice controlled Bluetooth connected car Part of the coursework in MSc program module
• Developed a voice-controlled car using Arduino micro controller programming
• Enabled seamless communication between the car and a smartphone via Bluetooth, showcasing experience with wireless protocols
• Implemented voice recognition, highlighting problem-solving skills in user interface design
Fingerprint-Based Fraud Vote Detection System
Sept 2021 - Dec 2021
• Integrated fingerprint sensors with Arduino using embedded C programming, demonstrating proficiency in electronics and IoT applications
• Emphasized security and compliance in system design, aligning with the job's focus on best practices
Automated Parking IoT System
Nov 2020 - Jan 2021
• Developed a central microprocessor using Arduino to automate parking processes, showcasing skills in hardware architecture and software integration
• Real-time detection and data display demonstrate experience in optimizing user experience and energy efficiency