My journey into large-scale computing began in enterprise environments, where mission-critical workloads and network infrastructures demand high reliability and real-time visibility. Over the years, I developed non-intrusive instrumentation frameworks that capture end-to-end performance metrics across middleware platforms, databases, and custom applications. These solutions leveraged function-hooking techniques (e.g., LD_PRELOAD) and SNMP-based data collection to provide detailed, transaction-level monitoring without disrupting production systems.

This foundational expertise in enterprise-grade distributed systems monitoring naturally evolved into broader research on HPC system observability. Whether dealing with a manufacturing execution system (MES) at a global display manufacturer or orchestrating HPC job telemetry at an exascale facility, my focus remains on building robust, scalable monitoring solutions that yield actionable insights. By unifying best practices from enterprise IT and scientific computing, I help ensure that even the most complex distributed environments remain transparent, efficient, and resilient.