Open to opportunities

Manojkumar Alapati

@manojkumaralapati

Message

MLOps Engineer and DevOps specialist building scalable ML platforms and automated CI/CD on AWS and Kubernetes.

India

Message

What I'm looking for

I seek roles building scalable ML platforms or cloud-native infrastructure where I can lead MLOps/DevOps automation, improve deployment velocity, ensure governance, and drive observability and cost efficiency.

I am an MLOps Engineer with 8+ years in DevOps & Cloud and 2.7+ years hands-on experience building end-to-end machine learning platforms on AWS and Kubernetes. I design scalable ML pipelines, automated CI/CD, model registries, feature stores, and robust deployment strategies that reduce time-to-production and cost.

At LTIMINDTREE I implemented Kubeflow pipelines, MLflow, Feast, canary rollouts, and monitoring (Prometheus, Grafana, Evidently AI, CloudWatch), integrating TensorFlow, PyTorch and SageMaker training within automated Jenkins pipelines. I optimized pipelines to cut training-to-production time by 70%+ and established A/B testing, shadow traffic and rollback frameworks for safe rollouts.

I bring strong Cloud and DevOps fundamentals—Terraform, Docker, EKS/ECS, Helm, Istio, Nexus, SonarQube, Checkmarx—and a pragmatic focus on governance, security, observability and documentation to help data science and engineering teams ship reliable ML products.

Experience

Work history, roles, and key accomplishments

Current

MLOps Engineer

Current

LTI Mindtree

Apr 2023 - Present (2 years 8 months)

Designed and implemented end-to-end MLOps platforms (Kubeflow, MLflow) enabling automated training-to-production workflows and reducing training-to-production time by 70%+. Implemented feature store, model registry, canary rollouts, and comprehensive monitoring for drift detection and performance.

Kubeflow MLFlow Feast TensorFlow PyTorch Docker Kubernetes EKS Jenkins Prometheus

DevOps Engineer

LTI Mindtree

Apr 2021 - Mar 2023 (1 year 11 months)

Built fully automated CI/CD and zero-touch delivery pipelines with Jenkins and Ansible, reducing release cycles from hours to minutes and enforcing security and rollback controls across microservices.