Arun Tewatia

Leads architecture for AI in IT Operations and enterprise pursuits across banking, wealth management, and health sciences. Architected an AI operations and cloud intelligence platform and an ML early-warning system on Kubernetes and Kafka.

Solution architect for a won VMware-to-AWS migration of 12,000+ VMs and migrated a large US bank's card portals to a two-region AWS design. Replaced a payments pipeline with secure CI/CD and built multi-account Terraform pipelines.

Architect for client projects across AWS, Azure, and GCP, designing cloud and CI/CD architectures and planning legacy-to-cloud migrations. Wrote solution architectures and guidelines signed off by delivery heads and enterprise architects.

Owned cloud infrastructure and release pipelines for client products on AWS. Replaced manual releases with CI/CD pipelines, moved infrastructure to Terraform, and containerised services onto Kubernetes with monitoring and alerting.

Implemented CI/CD on Jenkins and AWS CodePipeline, ensured AWS reliability and security, and moved crawler services to Lambda.

Ran Jenkins, EC2, and HPC nodes for research groups, benchmarked lattice cryptography code, and tutored Operating Systems II.

Built search infrastructure on Elasticsearch and Puppet, and redesigned the search architecture for a 15% performance gain.

Built a company-wide Eucalyptus private cloud managed with Scalr alongside EC2, and ran Hadoop and GeoServer as a service.

Pursued a Master of Science in Distributed Software Systems at Technische Universität Darmstadt from 2014 to 2016.

Earned a Bachelor of Technology in Computer Science from Guru Jambheshwar University of Science & Technology, Hisar, from 2006 to 2010.