- Lead the development and execution of innovative solutions in environmental monitoring.- Collaborate with cross-functional teams to drive product strategy and roadmap.- Ensure alignment with market needs and company goals.- Prioritise features, define product vision, and deliver high-quality products that enhance environmental sustainability.- Leverage data-driven insights to make strategic decisions, contributing to the growth and success of the product portfolio.

- Worked in varied roles in the product development life cycle.- Took on the role of QC engineer to learn and improve QC processes.- Developed soft skills in product management.- Gained insights into PCB and hardware design.- Developed a QC module for new products as a Python Developer.- Developed hardware user interfaces, focusing on user experience and collaborating with UI/UX design teams.- Technologies: LoRa, UART, I2C, Node-Red, MQTT- Languages: Python, Scripting, App Script, C/C++- Software and Tools: Visual Studio Code, GitHub Desktop, Google App Script, Eagle, KiCAD, DWIN DGUS application development

- Worked on the emerging technology of Artificial Intelligence.- Developed and managed education and training projects.- Developed Python-based AI projects, boosting coding skills and solving real-world problems.- Technologies: Artificial Intelligence- Languages: Python- Software: Google Colab, Anaconda, Pycharm

- Gained experience in firmware development for controllers.- Worked on emerging technologies like LoRa.- Learned configuration, setup, and installation of LoRa.- Technologies: LoRa, WiFi, BLE- Languages: C, C++

- Learned PCB designing at a startup that develops innovative development boards.- Designed PCBs and developed an RC car operated via smartphone using the Debian OS on Odinub Board.- Technologies: RF, WiFi- Software: Eagle for PCB designing- Key Learning Points: Linux and open-source systems

- Worked on IoT and electronics projects for a YouTube channel.- Developed 18 major and sub-major projects.- Learned PCB designing and hardware analysis.- Gained a deeper understanding of IoT algorithms and coding.- Technologies: IoT, MQTT, HTTP, REST API- Software: EasyEDA for PCB designs- Key Learning Points: Hardware concepts of IoT and smart home automation