Senior MLOps Engineer | Cloud Automation | Machine Learning | DevOps | GCP Certified As a seasoned MLOps engineer with extensive experience in automating and streamlining machine learning pipelines, I specialize in building scalable, secure, and highly efficient solutions on Google Cloud Platform (GCP). My passion for bridging the gap between data science and production environments drives me to deliver robust MLOps frameworks that accelerate model deployment, improve CI/CD processes, and enable end-to-end machine learning lifecycle management. At the core of my work is a deep commitment to automating workflows and infrastructure. From setting up Kubernetes clusters on GKE to automating model versioning and monitoring, I leverage GCP’s powerful suite of tools (Vertex AI, AI Platform, BigQuery, Cloud Functions, etc.) to optimize performance, reduce cost, and ensure seamless integration with other cloud-native services. With a background in DevOps and expertise in machine learning, I am passionate about staying on top of the latest trends in AI, cloud infrastructure, and containerization. I thrive in environments that encourage innovation and collaboration and am always eager to work on complex challenges that push the boundaries of what’s possible in the MLOps space. - MLOps frameworks (KubeFlow, MLFlow) - Google Cloud Platform (GKE, Vertex AI, BigQuery) - CI/CD for ML pipelines (Cloud Build, Jenkins) - Containerization (Docker, Kubernetes) - Model monitoring & governance - Infrastructure as Code (Terraform, Cloud Deployment Manager) - SRE & DevOps practices - Automation & orchestration tools