Vadlamudi Abhilash

About Vadlamudi Abhilash

High-impact MLOps Engineer with 6+ years delivering end-to-end production ML platforms…

Experience

1. Consultant

   Capgemini Engineering

   May 2024 — Present · Hyderabad, IN

   Automated deployment of Lambda functions using Python and AWS SDK (Boto3), integrating with CI/CD pipelines for seamless updates.• Scripted event triggers for Lambda using Python to respond to S3 uploads, DynamoDB changes, and CloudWatch alarms.• Implemented error handling and logging in Python scripts to monitor Lambda executions and push logs to CloudWatch.• Created Python-based utilities to package Lambda code, manage IAM roles, and configure environment variables programmatically.• Spearheaded CI/CD pipeline implementation using Jenkins and Git, reducing deployment times by 40%.• Automated infrastructure provisioning with Terraform boosting deployment efficiency by 30%.• Designed and implemented AIOps workflows for automated incident detection and remediation using ServiceNow.• Developed predictive models for resource usage forecasting, enabling cost optimization across AWS environments.• Managed AWS ensuring 99.9% uptime and scalable architecture.• Led a team of 5 engineers to design high availability and disaster recovery solutions, reducing downtime by 20%.• Implemented monitoring and alerting systems using CloudWatch, Prometheus, and Grafana, cutting incident response times by 30%.• Containerized applications with Docker and deployed them using Kubernetes and Helm, enhancing scalability and consistency.• Ensured security compliance through regular audits and best practices, reducing incidents by 25%.• Achieved a 15% reduction in cloud expenses through automated scaling and resource optimization.• Conducted R&D and developed POCs for emerging tools, enhancing team capabilities and adoption of Kubernetes.