Raj Popat
About Raj Popat
Raj Popat is a Software Engineer with experience in DevOps, currently working at Acquia. He has a background in developing scalable platforms and tools that enhance deployment efficiency and has led teams in continuous deployment projects.
Work at Acquia
Raj Popat has been employed at Acquia as a Software Engineer since 2021. In this role, he has developed a tool for automated discovery and deployment of application workloads, which has led to a 50% reduction in application deployment time. His responsibilities include working on various projects that enhance the efficiency of deployment processes and providing expertise in cloud technologies.
Previous Experience at Tata Consultancy Services
Prior to joining Acquia, Raj Popat worked at Tata Consultancy Services as a Software Engineer specializing in DevOps from 2019 to 2021. During his tenure, he contributed to several projects focused on continuous integration and deployment. His work involved utilizing modern DevOps tools and practices to streamline software development processes.
Internship at Biomatiques Identification Solutions Pvt. Ltd.
Raj Popat completed a one-year internship at Biomatiques Identification Solutions Pvt. Ltd. from 2018 to 2019. During this internship, he developed an internal in-house scalable platform for the on-demand deployment and maintenance of Kubernetes clusters, which reduced deployment time by 70%. He also led a team of three interns, focusing on continuous deployment projects using Ansible and Jenkins.
Education and Expertise
Raj Popat studied at Sarvajanik College of Engineering & Technology, where he earned a Bachelor of Engineering in Information Technology. He also completed his high school education at VN Godhani English Medium School, focusing on Science. His academic background has provided him with a solid foundation in software engineering principles and practices.
Technical Skills and Contributions
Raj Popat has demonstrated proficiency in various technical skills throughout his career. He implemented Python scripts for the automatic resizing of AWS Virtual Machines, achieving a 25% cost reduction. Additionally, he served as a subject matter expert for client developers on Kubernetes projects, showcasing his expertise in cloud computing and container orchestration.