MLOps Career Transition - Self-Directed
(2025-01)
Completed a structured, full-time transition into MLOps while managing full-time parental responsibilities, dedicating 20+ hours/week to hands-on technical reskilling.
- Built and deployed an end-to-end ML pipeline on AWS EC2 (hosted on GitHub), covering experiment tracking with MLflow, model packaging with BentoML, and deployment as a production-ready API.
- Developed hands-on proficiency in containerization (Docker), orchestration (Kubernetes), and CI/CD automation applied to ML workflows.
DevOps Engineer - Linqia Inc. - USA
(2023-01 - 2025-01)
- Automated day-to-day operational tasks using Python, reducing manual workload by 50%.
- Built and maintained AWS infrastructure as code with Terraform, ensuring consistent, repeatable deployments across 3 environments (staging, testing, and production).
- Provided 24/7 on-call production support on a biweekly (alternate-week) rotation, coordinating with developers to resolve standard incidents within a 3-hour window and escalating high-priority issues immediately to maintain system uptime and reliability.
- Managed Kubernetes (EKS) clusters supporting 100+ microservices, streamlining deployment pipelines and maintaining high availability of applications.
- Reduced monthly AWS infrastructure costs by $3,000 by migrating service traffic from traditional load balancers to Istio service mesh, tracked and validated via AWS Cost Explorer.
- Designed and maintained GitOps-based CI/CD pipelines (GitHub Actions, Jenkins, Argo CD) for continuous integration and deployment.
- Automated monitoring and alerting via CloudWatch to support high-uptime production requirements.
- Authored test plans and automated test scripts, expanding regression coverage across engineering initiatives.
- Configured and managed core AWS services: EC2, S3, RDS, ELB, EKS, IAM, Route53, CloudWatch, Cost Explorer, ElastiCache, ECR, CodeCommit, CodeDeploy, CodePipeline.
- Set up EKS clustering and orchestrated Docker containers for microservice workloads via Kubernetes Pods.
Full-Time Graduate Studies - International Technological University - San Jose, CA
(2020-01 - 2022-01)
Relocated to the United States to pursue a full-time Master's degree in Computer Science (see Education), building on prior DevOps and systems engineering experience in India.
Senior Specialist - Orange Business Services - India
(2019-06 - 2020-03)
- Designed and led an automated, GitOps-based CI/CD build-and-release process using GitHub, Jenkins, and Ansible on Azure infrastructure.
- Managed Git branching, merging, and release workflows for Java-based source code across the team.
- Automated Azure cloud service provisioning using Terraform.
- Established user account, file permission, and password policy standards.
- Performed root cause analysis for production incidents.
System Analyst - HCL Technologies - India
(2015-01 - 2019-06)
- Administered and maintained Red Hat Linux environments supporting critical engineering infrastructure.
- Diagnosed and resolved system issues including server outages, memory/disk exhaustion, and hardware (DIMM) failures.
- Managed user and group access controls across production systems.
- Tracked and documented daily operational issues via status reporting to support continuity.
- Maintained uptime and reliability of production systems and applications.
