Engineer
Tokyo, Japan
Developed an end-to-end auto-monitoring tool for 4G and 5G RAN clusters, ensuring the stability of services and significantly reducing manual workload.- Implemented an automated login system to efficiently retrieve data from mobile networking LINUX servers, gathering essential information such as resources, user activity, status, and connectivity data for each machine in the network every 4 hours.- Analyzed and visualized the collected data to enhance network visibility and performance: - Developed a streamlit dashboard to display real-time network health, providing a comprehensive overview of the system's status. - Created weekly service Key Performance Indicators (KPIs) summarizing cluster node status, RDU, and ORU connectivity, enabling better decision-making and performance tracking. - Implemented an alert system to identify and highlight anomalies, such as uncommon or irregular values, allowing for timely investigation and resolution.Overall, my contributions resulted in an improved monitoring process, ensuring the reliability and efficiency of the network while facilitating informed decision-making based on accurate and visually appealing data representations.