Sai Srikar K.
About Sai Srikar K.
Sai Srikar K. is a Senior Software Engineer currently employed at Rafay in Bengaluru, India. He has a background in software engineering with experience at Citrix and Crio.Do, where he developed tools and features to improve Kubernetes deployment and performance.
Work at Rafay
Sai Srikar K. has been employed at Rafay as a Senior Software Engineer since 2022. In this role, he focuses on developing solutions that enhance the efficiency of Kubernetes cluster management. His contributions are aimed at improving the overall performance and reliability of the platform.
Previous Experience at Citrix
Prior to joining Rafay, Sai Srikar K. worked at Citrix as a Software Engineer from 2020 to 2022. During his tenure in Bengaluru, he developed a tool to simulate thousands of Kubernetes clusters, which assisted in identifying potential bottlenecks and limitations within the system. He also completed a five-month internship at Citrix in 2020, where he gained practical experience in software engineering.
Experience at Crio.Do
In 2019, Sai Srikar K. served as a Student Developer at Crio.Do for one month. During this time, he focused on building features that improved customer experience by facilitating safer application deployments onto Kubernetes clusters. His work provided an alternative to traditional methods using helm and Kubernetes YAML files.
Education and Expertise
Sai Srikar K. earned a Bachelor of Technology (BTech) in Computer Science from PES University, where he studied from 2016 to 2020. His academic background has equipped him with the foundational knowledge and skills necessary for his career in software engineering, particularly in cloud-native technologies and Kubernetes.
Technical Achievements
Throughout his career, Sai Srikar K. has achieved significant improvements in deployment efficiency. Notably, he reduced deployment times by tenfold while also decreasing resource consumption and costs. This was accomplished through the identification and mitigation of multiple bottlenecks in the deployment process.