About

Karan Sharma is a highly skilled Machine Learning Operations Engineer with over 5 years of experience in the field of DevOps. He is proficient in architecting and automating infrastructure with AWS, Kubernetes, and Terraform, and has extensive experience in building scalable infrastructure, build and deployment automation with CI/CD. He is also proficient in setting up frameworks for logging, monitoring, and alerting, backup/restore, and disaster recovery management. Karan has made significant contributions to the open-source community, including deploying an ML model to Kubernetes as a REST API for the GCP community, contributing the template for mounting EFS through IP address for AWS EFS, and contributing the Firmware over the air template to the community of easy chip up-gradation for ESPRESSIF/ESP32. Currently working as a Machine Learning Ops Engineer at Frontdoor, Karan has designed and implemented the core components of the ML platform, including implementing dedicated Jupyterhub for data scientists, setting up MLFlow for experimentation and tracking, implementing Airflow for orchestration, and setting up K8s as a middleware framework for submitting jobs on AWS Sagemaker. In his previous role as a Senior DevOps Engineer at Pitney Bowes, Karan was responsible for creating, configuring, and maintaining infrastructure on AWS and GCP services, including VPC, EC2, RDS, Route53, SNS, Cloudfront, Cloudwatch, IAM, ML Engine, Stackdriver, and App Engine. He also developed the deployment process for achieving cross-account deployment and worked with version controls like GIT and source control management tools like GitHub, GitLab, and Bitbucket. Karan holds a Bachelor's degree in Computer Science Engineering from JECRC, and an ISC in Science with Maths from Springfield School. He has a strong technical skill set that includes ML, AWS, infra, DevOps, Terraform, Kubernetes, CI/CD, GCP, Sagemaker, Apache Airflow, Data Scientist, Research Scientist, Bamboo, Ansible, and Jenkins. Karan is committed to establishing himself as a DevOps Engineer and contributing to the growth of the company while ensuring personal growth.