About

Raghul is an accomplished Search & ML Engineer with a passion for product and engineering. He is an incoming CS Grad student at Northwestern University, Fall'22, with a Bachelor of Technology in Computer Science and Engineering from Shanmugha Arts, Science, Technology and Research Academy. Raghul has 3.78 years of relevant experience in the field of ML, Search, AWS, Terraform, Backend, Elastic Search, Python, Data Engineering, Kubernetes, Docker, MongoDB, infra, AI, Django, test, and Flask. Raghul's programming skills include C, C++, Java, and Scala, while his scripting languages include Bash, Python, and NodeJS. He is proficient in database management systems such as Postgresql and MongoDB and is also familiar with search engines like Elasticsearch. Raghul has experience working with cloud services such as AWS and is well-versed in CICD tools like Docker, Kubernetes, Git, and Terraform. He has worked with frameworks like Django and Express and has a thorough understanding of ML pipelines. Currently, Raghul works as a Search & ML Engineer at Needl.ai, where he is responsible for setting up cloud-secure infrastructure, backend technologies, and data engineering pipelines. He is also handling search and backend engineering. Raghul has previously interned at GE Appliances, a Haier Company, where he prototyped VR scenes using AWS Sumerian and integrated them with other AWS services like Lambda, S3, DynamoDB, Lex, Polly, and IoT Core. He has also worked as a Software Engineering Consultant at Oncostem, where he provided continuous support and maintenance for the ML pipeline. Raghul is a quick learner and a team player with excellent problem-solving skills. He has a keen eye for detail and is passionate about creating products that are both usable and necessary. With his strong technical skills and experience, Raghul is a valuable asset to any organization.