SAsrividya ande
@srividyaande
DevOps/MLOps Engineer with expertise in cloud infrastructure and automation.
IndiaWhat I'm looking for
With over 5 years of experience as a DevOps/MLOps Engineer, I specialize in cloud infrastructure optimization and CI/CD pipeline automation. My journey has equipped me with hands-on expertise in AWS, Azure, and GCP, along with a strong command of Kubernetes, Docker, and Terraform. I am passionate about integrating DevOps best practices into MLOps workflows, ensuring that machine learning models are not only scalable but also reproducible.
Currently, I am working at Revel Health, where I developed and deployed MLOps pipelines using Kubeflow and MLflow, significantly enhancing the monitoring and reproducibility of ML models in production. My previous roles have allowed me to manage microservices architectures and implement cloud-native solutions, consistently delivering high-performance systems while improving deployment times and system reliability.
Experience
Work history, roles, and key accomplishments
DevOps Engineer / MLOps
Revel Health
Jun 2023 - Present (2 years)
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%.
Site Reliability Engineer
Ashok Leyland
Mar 2020 - Jan 2022 (1 year 10 months)
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.
Cloud Engineer
Sonata Software
Jul 2018 - Mar 2020 (1 year 8 months)
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.
Associate
Wipro Limited
Sep 2017 - Jul 2018 (10 months)
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.
Education
Degrees, certifications, and relevant coursework
SUSaint Leo University
Master's in Computer Science, Computer Science
2022 - 2023
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.
Availability
Location
IndiaAuthorized to work in
Skills
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