I build scalable MLOps pipelines, automate AI/ML lifecycles, and deliver cloud-native solutions on Azure.
MLOps Engineer and Azure Cloud Architect with 7 years of experience in ML model deployment, CI/CD for AI workloads, Kubernetes orchestration, GPU-optimized environments, and cloud-native automation. Strong expertise in Azure DevOps, containerized AI workloads, infrastructure as code, and scalable ML pipelines using Azure ML, MLflow, Kubernetes, and distributed compute. Skilled in automating the entire ML lifecycle including training, versioning, A/B testing, drift detection, and monitoring. Adept at collaborating with data science teams to operationalize machine learning and generative AI models in production.
I specialize in building end-to-end MLOps pipelines, automating model lifecycles, and enabling production-grade AI.
I leverage Microsoft Azure and cloud-native services to deploy and scale AI/ML workloads in production.
I build robust CI/CD automation and data engineering pipelines using modern DevOps and programming tools.
Over 6 years of experience in MLOps, DevOps, and cloud engineering. Want to know more? Contact me.
Senior DevOps Engineer
11/2023 - Present
Specialist – DevOps
12/2022 - 11/2023
Senior Software Engineer – DevOps
11/2021 - 12/2022
Software Engineer – DevOps
10/2019 - 10/2021
My academic background and professional certifications.
Dr. A. P. J. Abdul Kalam University (2015 – 2019)
AZ-305: Azure Solutions Architect Expert
AZ-400: Azure DevOps Engineer Expert
AZ-700: Azure Network Engineer
AZ-104 | AZ-900 | AI-900: Azure AI Fundamentals
MLOps (Machine Learning Operations)
HashiCorp Terraform Associate
MuleSoft Certified Developer L1
Interested in discussing ML/AI solutions or potential opportunities? I'd love to hear from you.
Contact Me