. Designed and implemented robust CI/CD pipeline for Project VAOFD using Google Cloud Build and Google Cloud Run.. Automated build, test, and deployment processes of VAOFD to ensure rapid and reliable code integration and delivery.. Integrated Google Secret Manager access within the Next.js application to securely manage and access sensitive information.

• Led the Data-Migration Fault injection initiative to resolve issues of NSX-T upgrade.• Developed a framework in python for NSX-T CI/CD pipeline to capture and report real-time data migration issues could happen in NSX-T upgrade and also provided a dashboard leveraging Angular for management to get a better visualization• Designed a fault injection python framework deploying chaos-mesh in kubernetes cluster helped in performing fault resiliency check of NSX-T on SaaS• Enhanced the Test Framework and Smart tools leveraging python, increasing the productivity of the team• Served as a Mentor and Project guide for all India VMware New Grads in Bootcamp session in the years 2022

• Developed API-tizer, a smart generic python plugin runs as a daemon and computes all the API intent and Realization performance of the appliance and pushes it to an observability tool• Enhanced framework and development of Mjolnir (a platform-independent fault injection python package). Mjolnir was accepted as a VMware fling and now available to public• Constructed a visualization tool called API-coverage. Tool captures all the APIs covered in CI/CD pipeline jobs and analyze the API usage and coverage through an UI• Spearheaded the optimization of Ansible Test modules for NSX-T Application, resulting in a 50% reduction in execution time and enhanced the quality of modules, ensuring a seamless experience for customers• Mentored an intern to deal with smart execution and runtime optimization in NSX-T CI/CD framework using an AI model. Reduced the test execution time by 30%• Served as a Mentor and Project guide for all India VMware New Grads in Bootcamp session in the year 2021

• Designed and implemented a kernel module in C VMkernel code, dumps EPT (Extended Page table) when required• Implemented a python script to measure the impact of page-table misplacement in ESXi with multiple NUMA nodes• Automated Python scripts to parse through the page dump; provide valuable insights on the page table placement• Created bash scripts to run memory benchmarking workloads (Memcached, GUPTS, etc.) to capture the performance of page table placement in ESXI and generate a consolidated report

• Designed a data synchronization model between master server and the local slave servers for infotainment systems and devised a python Django-based application for project• Built a Python-based central server prototype to efficiently store and manage a wide range of railway media content in XML for infotainment systems• Developed Python-based local slave server to store location specific media and sync with central server when connected to internet. Local server is leveraged by customers XML based mobile app to watch media with intra network