Worked on an internal R&D initiative to build a resource forecasting tool, focusing on real-time monitoring and capacity planning in Kafka-powered systems.
Integrated monitoring stacks using Prometheus, and Node Exporter , JMX Exporter to collect detailed performance metrics of Apache Kafka Broker.
Helped create synthetic workloads to simulate CPU spikes, memory pressure, disk I/O bottlenecks, and network congestion, enabling stress testing at scale.
Co-developed a prototype ML pipeline that used patterns in JMX and system metrics to predict fault scenarios—particularly Kafka broker instability and crash trends.
LRN System | Software Development Intern – NALCO
June 2024 – July 2024
Collaborated closely with the Systems Department at NALCO , Bhubanewar to build an internal tool that automated leave request notifications, replacing their manual, error-prone workflow with a modern desktop application.
Engineered a cross-platform desktop app using Electron, React, and Express—seamlessly connecting frontend and backend services into a single cohesive system.
Implemented a timed scheduling system that pushed updates every 30 minutes, ensuring HR and team leads stayed informed in near real-time without needing to refresh or intervene.
Delivered a solution that became actively adopted within the organization, streamlining internal communication for employees and demonstrating measurable improvements in accuracy and efficiency.