About

Rahul Agrawal is a highly skilled DevOps professional with expertise in Docker, Kubernetes, AWS, CI/CD, and more. He is currently working as a Research Fellow at the University of California, Santa Cruz, where he has been working on Skyhook-DM, a distributed storage system that uses Apache Arrow and CEPH file system. As part of this project, he integrated a benchmark framework that continuously tests all critical components of the tool and alerts users in case of any issues. Rahul has also worked as an Intern at Accenture, where he developed a Predictive Asset Maintenance template that offers features like EDA, pre-processing, data engineering, model selection, and model evaluation. This template is easy to use and requires users to add data to get the desired output. He has also contributed to the openEBS project as an LFX Mentee at the Linux Foundation. Here, he has been working on adding Grafana Dashboard support for the project, which allows users to easily see the status of different types of persistent volumes like cstor, Jiva, or Local PV host path or storage. Rahul has a strong educational background in Artificial Intelligence, having completed a course on Time Series Forecasting using MTNN (Multi Task Neural Network) from the Centre for Artificial Intelligence at IIT Kharagpur. He also holds a degree from the Indian Institute of Technology, Kharagpur. With over 3.70 years of relevant experience, Rahul has a strong command over AWS, Research Scientist, AI, Kubernetes, DevOps, CI/CD, Python, Docker, Golang, test, Javascript, and Data Engineering. He is a highly motivated and skilled professional who is always eager to learn and contribute to new projects.