I'm an experienced MLOps and DevOps Engineer with a strong background in deploying and maintaining AI models and microservices within Kubernetes environments. I specialize in integrating machine learning with infrastructure using NVIDIA's AI Stack and have hands-on experience with NVIDIA hardware like DGX, IGX, and Jetson devices.
- MLOps: Deploying AI models and managing machine learning pipelines.
- DevOps: Automating deployments, managing CI/CD pipelines, and optimizing infrastructure.
- NVIDIA Stack: Implementing solutions using NeMo, NIM, CUDA, and Clara Holoscan.
- Kubernetes: Managing large-scale Kubernetes clusters, including AI workloads on DGX systems.
- Cloud: Extensive experience with AWS services like EC2, Lambda, Route 53, and more.
- AI Platforms: Katonic AI, BigML
- Containerization & Orchestration: Docker, Kubernetes (with NVIDIA GPU Nodes )
- Infrastructure as Code: Terraform
- CI/CD Tools: Git, Jenkins, SonarQube, EKS
- Cloud: AWS (EC2, VPC, Route 53, CloudFormation, CloudFront, Lambda)
- Open Source Tools: OTRS, Zabbix, Moodle
- Networking & Troubleshooting
- Advanced MLOps techniques and best practices.
- Further enhancing DevOps skills for large-scale deployments.
- Email: premjithbenny@yahoo.com