Profile Summary
Results driven MLOps Engineer with 6+ years of experience shipping reliable ML solutions at scale. Proven track record delivering end to end ML lifecycle automation including data versioning, model deployment, monitoring and governance using Kubernetes, cloud platforms and modern CI/CD.
Experience
NovaTech AI Solutions, San Francisco, CA
Senior MLOps Engineer · Jan 2019 – Present
- Led end to end ML lifecycle automation for production grade models deploying via Kubernetes and Kubernetes-native tools.
- Built CI/CD pipelines for ML models with GitHub Actions and MLflow, reducing deployment time by 40 percent.
- Implemented model monitoring with Prometheus and Grafana, setting anomaly alerts and auto rollback on drift detection.
- Standardized data lineage and feature store usage with DVC and ML metadata tracking across teams.
DataForge Labs, Bengaluru, India
MLOps Engineer · Jul 2016 – Dec 2018
- Architected scalable ML pipelines for computer vision projects using Docker, Airflow, and Kubeflow.
- Implemented infrastructure as code with Terraform on AWS, enabling repeatable deployments.
- Collaborated with data science teams to optimize training, evaluation, and model serving in production.
Skills
MLOpsCI/CD for MLKubernetesDockerKubeflowAirflowMLflowDVC
AWSGCPAzureTerraformPrometheusGrafanaPythonShell
Certifications
- Google Cloud Professional Machine Learning Engineer
- AWS Certified Machine Learning - Specialty
- Kubernetes Administrator Certification (CKA)
Education
- MS in Computer Science, University of California, Berkeley, 2015 – 2017
- BSc in Computer Science, University of Mumbai, 2011 – 2015