Chandana Krishna

Graduate Instructional Assistant @ Texas State University

About

Hello! I’m Chandana Krishna, a Master’s student in Computer Science at Texas State University and an aspiring Cloud Engineer / DevOps Engineer / Site Reliability Engineer. I have experience working with AWS-based cloud systems through both industry and academic roles. While working at Lenovo as a Cloud Engineer, I found real satisfaction in understanding how cloud systems behave in production and contributing to their reliability and stability. That experience strengthened my interest in cloud infrastructure and operations. Through my personal and professional experiences, I have come to know that: ★ I embrace the cycle of learning, unlearning, refining, and repeating the process to grow as an engineer. ★ Curiosity and consistency help me navigate challenges in Cloud and DevOps environments. ★ I enjoy breaking down complex systems and finding simple, reliable solutions. Outside of work and academics, I enjoy learning new technologies, reflecting on my journey, and connecting with people who share similar interests. Happy to have conversations around Cloud, DevOps, and technology. Feel free to connect! #CloudEngineer #DevOpsEngineer #SRE #AWS #Kubernetes #Terraform #CICD #GitHub Actions

Country

United States

City

Austin

Industry

Computer Software

Skill

FastAPI, ChromaDB, GitHub Actions, aws CodeArtifact, AWS CodeBuild, AWS CodeDeploy, AWS CloudFormation, AWS Identity and Access Management (AWS IAM), Amazon S3, Maven, Amazon EKS, Infrastructure as code (IaC), Bash, Incident Management, Troubleshooting, run books, Log Analysis, Site Reliability Engineering, Terraform, Infrastructure

Experience

Graduate Instructional Assistant

Texas State University

2024-8 - Present · 2 yrs 2 mos

San Marcos, TX

- Led hands-on labs for 40+ students on C++, Linux, Git, Docker, and CI/CD, boosting deployment success by 30%. - Supported and optimized 100+ DevOps projects using AWS, Terraform, and Jenkins. - Built automated lab guides and workflows, reducing pipeline failures by 40%.

Cloud Engineer

Lenovo

2023-7 - 2024-7 · 1 yr 1 mo

Bengaluru

Automated log analysis using Python and AWS CloudWatch, reducing manual work by 83% and improving response time by 40%, while monitoring 1,000+ systems and resolving 50+ VPC issues to enhance detection, reduce incidents, and improve system uptime

Cloud Engineer Intern

HOPE foundation

2022-7 - 2023-6 · 1 yr

Bengaluru

Developed SOPs, monitored 20+ servers, and managed 15+ VMs, reducing downtime and operational effort while improving detection speed, reliability, and overall system efficiency.