Shashi Kumar

Motivated and detail-oriented fresher aspiring to start a career as a DevOps Engineer

📍 Hyderabad 📞 +91 7989265399 ✉️ Shashinarmala29@gmail.com GitHub LinkedIn

Objective

Eager to apply foundational knowledge of CI/CD, cloud platforms, Linux, and scripting to support efficient software delivery. Passionate about learning modern DevOps tools and practices to help teams build, deploy, and scale applications reliably.

Education

B.Tech in Computer Science (Data Science)

Avanthi Institute of Engineering and Technology, Hyderabad
Sep 2021 – 2025

Relevant Coursework: Software Engineering, Machine Learning, Computer Networks, DBMS, Cloud Computing, Data Mining

Experience

Junior DevOps Engineer (Contract) – Vtex.AI

Feb 2025 – Jul 2025 | Remote, India

  • Developed automated pipelines (SAST, UAT, regression) using GitHub Actions.
  • Implemented Canary deployments with automated rollback mechanisms.
  • Automated releases & semantic versioning across multi-repo architecture.
  • Built CI/CD pipeline on Jenkins for Python app deployment on AWS ECS.
  • Provisioned infra with Terraform (ECS, IAM, networking, logging).
  • Integrated CloudWatch for monitoring; reduced resolution time by 70%.
  • Achieved 80% reduction in deployment time with zero downtime.

Kitikiplot (Open Source)

Mar 2025

  • Developed Python unit test cases with Pytest ensuring code quality.
  • Implemented GitHub Actions pipelines for automated testing.

Projects

Trail – AI Agent

Jun 2025 – Present

  • Designed multi-cloud CI/CD pipeline using GitHub Actions & Airflow.
  • Containerized backend & ML model with Docker; deployed to Render & AWS.
  • Automated ML lifecycle (ETL, training, retraining) with Airflow DAGs.
  • Provisioned infra with Terraform for EKS clusters, Prometheus integration.
  • Integrated Grafana dashboards reducing incident response by 70%.
  • Implemented zero-downtime rolling deployments on Kubernetes.

Technical Skills

  • Languages: C, Python
  • Operating Systems: Linux, Windows
  • Cloud Platforms: AWS, Azure
  • CI/CD Tools: Jenkins, GitHub Actions
  • Containers: Docker, Kubernetes
  • IaC: Terraform