Goal: Developing and strengthening the system software stack for Azure Operator Nexus, a cutting-edge platform transforming the Mobile Edge Computing landscape. With a focus on enhancing performance and enabling seamless network function virtualization, my work focuses on hardening the Nexus product. I an in charge of building extensive end-to-end testing infrastructure to ensure its robustness and reliability. By developing comprehensive test suites, I am validating the interaction of various Kubernetes-based services, paving the way for a flexible and performant virtualization stack. To streamline testing processes, I have harnessed the power of the LISA testing framework and Azure DevOps pipelines, driving automated testing and accelerating delivery cycles.

* Objective: To develop a power minimization technique for black-box Virtualized Network Functions (NFV). * Used CPU performance counters to characterize the utilization of network function instances. * Used Dynamic Voltage and Frequency Scaling to tune processing speed and power consumption of black-box network functions. * Developed a frequency scaling heuristic that minimizes power consumption while providing tail-latency bounds on packet processing.

• Worked on formalizing components of an edge/computing system with concrete use-cases• Modeled distributed in-network stream processing system and implemented it using CloudSim simulation toolkit • Devised an operator placement policy for aforesaid systems that optimizes network usage under resource constraints

• Responsible for migration of data store of Amazon's product forecasts to AWS DynamoDB• Designed and synchronized workflow that uploads data to S3 and then into DynamoDB using AWS Data Pipeline