srividya ande

Developed and deployed MLOps pipelines using Kubeflow and MLflow, ensuring reproducibility and monitoring of ML models in production. Implemented CI/CD pipelines in Jenkins and GitHub Actions, optimizing resource allocation and reducing deployment time by 30%.

Developed and maintained CI/CD pipelines using Jenkins and GitLab CI/CD, reducing deployment time by 40%. Managed AWS-based infrastructure with Terraform and CloudFormation, ensuring high availability and scalability.

Designed, implemented, and managed cloud infrastructure on AWS, ensuring security, scalability, and high availability. Collaborated with cross-functional teams to define and implement cloud migration strategies.

Collaborated with Google’s client on a detailed mapping process to enhance location accuracy and data reliability. Worked on real-time traffic condition analysis, providing accurate traffic data to support optimal route planning.

Grade: 3.45/4.00

Completed a Master's degree in Computer Science with a focus on advanced computing concepts and applications. Achieved an overall GPA of 3.45/4.00, demonstrating strong academic performance and understanding of the subject matter.