Masters graduate in distributed computing with sound experience in popular cloud services and big data analytics. Currently handling the responsibilities of the cloud side for Wisilica.Managing the team that is transforming the legacy system to a highly available, scalable system that supports multi-tenancy with a microservice event-driven model with ECS and JavaSpringboot. The IoT system has endpoints with devices as well as mobile App and has Infrastructure monitoring and device diagnostics(WIP). The system is intended to self-monitor the functioning of devices and predict the failures in advance. The tech stack is vernemq , ELK, and custom anomaly detection and time series based prediction algorithms.Research experience in Automatic content recognition, real-time music detection, and cloudkon.
Listed skills include Hadoop, Amazon Web Services, Java, Cloud Computing, and 20 others.