I'm an MLOps Engineer focused on designing scalable, cloud-native inference architectures and automated CI/CD pipelines. I specialize in transforming experimental models into production-ready microservices using Kubernetes, Docker, and AWS.
I am currently architecting robust ML systems with a focus on:
- Orchestration: Managing containerized applications with Kubernetes.
- MLOps: End-to-end pipeline automation & monitoring.
- Microservices: Decoupling monolithic ML code into scalable FastAPI services.
- Infrastructure: Configuring AWS (EC2, VPC, IAM, ECR) and Linux environments for high availability.