• Designed and implemented CI/CD procedures for deployment of infrastructure and applications on AWS and Kubernetes• Played key role in world wide launch of several games on Kubernetes and AWS• Launched and maintained Kubernetes environments on public clouds and on-prem• Designed and implemented service mesh using Istio• Deployed and maintained services on Kubernetes such as Kafka, Prometheus and ELK stack• Designed and developed containerized applications, optimized for deployment on Kubernetes• Played key role in the design and development of PaaS features• Aided clients in efficient migration to AWS• Developed Open Service Broker API compatible module for resource provisioning on AWS using AWS CDK• Presented multiple training workshops on cloud technologies, Kubernetes and DevOps practices

Designing and deploying resource-efficient systems for real-time distributed video transcoding. • Explored multiple Big Data systems such as Apache Hadoop and Apache Spark• Integrated video transcoding with Apache Spark• Investigate and optimized the scheduling of Apache Spark• Used technologies such as Docker containers to deploy designed solutions• Explored shared storage solutions such as HDFS, GlusterFS, Amazon S3, and Amazon EFS• Used GitHub and DockerHub for source control.

• Guided and mentored two undergraduate students through the summer and academic year on academic projects• Helped students in the design of their solution and conducted code reviews, unit tests and integration tests on developed code• Evaluated the final output of the projects

• Supervised 8 teams of final year engineering students during their capstone project (4 teams each year) two of which won the capstone fair• Guided and consulted with teams regarding technical details and solution design throughout the development process• Communicated and coordinated with industry sponsors and made sure deadlines are met and requirements are satis-fied• Managed team conflict and job distribution

• Managed cloud resources and tailored the infrastructure for specific needs• Deployed, maintained and optimized Big Data frameworks such as Apache Spark and Hadoop• Implemented security and disaster recovery procedures.

Large-scale data processing using Apache Spark and Apache Hadoop.