Srikanth Reddy Vennapusa Email & Phone Number

• Having around 5 years of experience in IT, in that I am having 2.8 years as a DevOps Engineer and 2.2 years as MLOps Engineer• Extensive experience in implementing Continuous Integration (CI) and Continuous Deployment (CD) pipelines using tools like Jenkins. Proficient in designing and maintaining automated build, test, and deployment processes.• Strong understanding of Git and GitHub, including branching strategies, merging, and resolving conflicts. Skilled in managing code repositories effectively for collaborative development.• Hands-on experience with Docker for containerization and Kubernetes for container orchestration. Managed Docker containers and Kubernetes clusters for scalable and efficient deployment of applications.• Proficient in using Ansible for configuration management and automation of infrastructure provisioning. Implemented IaC (infrastructure as code) practices using Terraform to define and manage cloud resources.• Implemented monitoring solutions using tools such as Prometheus and Grafana. Monitored application health, performance, and resource utilization, ensuring proactive issue identification and resolution.• Experienced in managing the end-to-end machine learning lifecycle, from data preparation and model training to deployment and monitoring using Databricks and AWS Sagemaker.• Developed feature stores to serve multiple machine learning models, enabling efficient feature engineering and reuse across different applications.• Implemented monitoring solutions using tools like CloudWatch to track model performance metrics and detect concept drift. Established thresholds and alerts for timely detection of model deviations.• Set up continuous training pipelines to retrain machine learning models based on evolving data and performance metrics. Implemented strategies to maintain model accuracy and relevance over time.• Created automated ML pipelines in Databricks, reducing model deployment time from weeks to hours.• Established MLflow for experiment tracking and model versioning, improving model reproducibility

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  Gayatri Vidya Parishad College Of Engineering (Autonomous)

  Mechanical Engineering