Aditiya

PT. Recharge POD Ltd

Wellness Tech • Fulltime

Sep 2024 - Present • 1 yr 8 mos

As an IoT engineer with a strong background in embedded systems, I have been responsible for planning and designing scalable IoT architectures that integrate hardware and software efficiently. I led the development of optimized, reliable software for embedded platforms, especially ESP32-based systems, ensuring seamless module integration through end-to-end testing from hardware to firmware. I implemented MQTT-based communication protocols to enable real-time, low-latency data transmission and control, while also developing Node-RED flows for automation, data visualization, and system interoperability. To improve user experience, I designed intuitive user interfaces for monitoring and controlling IoT devices. Additionally, I engineered Firmware Update Over-The-Air (FUOTA) systems, allowing remote firmware updates with minimal downtime. I also built CI/CD pipelines to streamline development, enabling automated testing, deployment, and version control for embedded software and firmware. My role included continuous system maintenance, bug fixing, and feature enhancement to ensure long-term reliability and adaptability. Through cross-functional collaboration, I consistently delivered scalable, user-centric IoT solutions that bridge the gap between physical devices and cloud infrastructure.

PT. Media Sarana Data

Software House • Fulltime

Mar 2023 - Sep 2024 • 1 yr 6 mos

As an IoT and embedded systems engineer, I have led the design and development of AI-integrated IoT systems tailored to client requirements, ensuring architectural scalability, reliability, and efficiency. I have extensive experience in embedded hardware development, including PCB design and component integration, working with microcontrollers such as ESP32, STM32, and others. My firmware and software expertise spans multiple frameworks, including ESP-IDF and Arduino, enabling the creation of robust, maintainable systems. I have designed architectures that integrate cloud platforms like Firebase and AWS, enabling real-time data acquisition, remote monitoring, and intelligent analytics. To support seamless device-to-cloud communication, I have implemented various protocols such as Wi-Fi, MQTT, BLE, LoRa, and cellular. I also utilize edge computing strategies to reduce latency and optimize power usage by performing data processing directly on the device. My responsibilities included thorough system-level testing, debugging, and performance optimization, with a strong focus on data security and integrity. I maintained and improved deployed systems through remote troubleshooting, updates, and feature enhancements. Additionally, I collaborated with cross-functional teams to transition projects from prototype to field-ready deployments, employing DevOps practices and CI/CD pipelines to support continuous integration, deployment, and long-term maintainability of embedded and IoT applications.