Lakshmipriya R

DevOps Engineer Intern

Sep 2025 - Mar 2026 • 6 mos

Cloud-Native Deployment & Platform Engineering: • Orchestrated containerized workloads on Kubernetes (EKS) using optimized Docker images (35% size reduction), NGINX Ingress, AWS ALB, HPA auto-scaling, and rolling deployments achieving zero-downtime releases and 40% improved scaling • Administered Linux-based EC2 nodes and enforced VPC network security policies (subnets, routing tables, security groups, NACLs) to control production traffic flow and prevent unauthorized cluster communication • Strengthened deployments with readiness/liveness probes, NGINX reverse proxy, and resource isolation for high-availability services Data & MLOps Automation: • Engineered Apache Airflow pipelines processing millions of multi-service logs daily, implementing ETL workflows, feature extraction, ML training, and real-time anomaly detection alerts reducing production downtime by 45% • Deployed inference pipelines storing structured data in AWS S3 and PostgreSQL; integrated Grafana dashboards improving visibility Cloud Cost Governance: • Conducted AWS CloudWatch costs audit eliminating redundant log ingestion and unused metrics, reduced monthly spending from $700 to $450 (35% savings)

Software Engineer Intern

May 2025 - Aug 2025 • 3 mos

• Built a full-stack SaaS platform with React and TypeScript, delivering scalable UI components and type-safe frontend architecture • Established automated testing & CI workflows with security checks and code quality gates, reducing deployment time by 40% • Implemented Neo4j GDS algorithms on healthcare graph data integrated with BigQuery, improving referral routing efficiency by 25%