Mlops Engineer Platform Devops

Nageswar Chodisetti

Platform DevOps & MLOps Engineer

Phone#: 513-***-****

E-Mail: ***********@*****.***

LinkedIn: /https://www.linkedin.com/in/nageswar-kumar-chodisetti/

SUMMARY:

Trading Platform DevOps & MLOps Engineer with 3+ years of experience designing, deploying, and optimizing low-latency, high-availability infrastructure across AWS, GCP, and co-located environments. Proven expertise in CI/CD pipeline automation (GitHub Actions, Jenkins), infrastructure-as-code (Terraform, Ansible), Kubernetes orchestration, Databricks management, and ML model deployment Pipelines.

TECHNICAL SKILLS:

Cloud Platforms: AWS, GCP, Azure IaC: Terraform, Ansible, CloudFormation CI/CD: GitHub Actions, Jenkins, Harness, GitLab, Azure DevOps

Containers: Kubernetes, Docker, OpenShift Scripting: Python, Bash, PowerShell, Golang Monitoring: Prometheus, Grafana, CloudWatch, Google Cloud Logging

Version Control: GitHub, GitLab, Bitbucket Databases: MySQL, PostgreSQL, SQL Server, MongoDB Systems: Linux, UNIX, Windows Server

Other: Nexus, SonarQube, JIRA, Confluence, IAM, RBAC, REST APIs

PROFESSIONAL EXPERIENCE:

Role: Platform Engineer

Go Global Dev June 2024 – Present

Automated multi-cloud infrastructure provisioning for 100+ AWS & Azure resources using Terraform, reducing provisioning time by 70% and improving audit compliance.

Built and managed 15+ CI/CD pipelines using GitHub Actions, integrating SonarQube & Trivy scans to ensure secure, rapid deployments for critical trading systems.

Deployed and optimized Kubernetes (EKS, AKS) clusters supporting 50+ microservices with Helm, Ingress controllers, and secure secrets management.

Built and managed Databricks ML pipelines supporting large-scale model retraining, validation, version control, deployment, and rollback procedures

Role:AWS DevOps & Infrastructure Engineer

Infosys Aug 2021– Dec 2023

Automated cloud provisioning across AWS and Azure for 200+ servers using Terraform and Ansible, accelerating deployment cycles by 60%.

Managed CI/CD pipelines for 30+ applications using Jenkins, GitHub Actions, and Azure DevOps, achieving 99% deployment success rate.

Performed system operations and access control for 500+ user accounts following SRE principles.

Developed Python scripts processing 10GB+ log data daily for real-time anomaly detection and system health reporting.

Configured Kafka clusters processing 5+ million messages per day, improving streaming pipeline throughput by 25%.

ACADEMIC PROJECTS:

Cloud-Native DevOps Automation for Healthcare Application

Kl University— Capstone Project Jan 2021 – Jun 2021

Designed and deployed a fully automated cloud infrastructure using Terraform and Ansible on both AWS and Azure platforms.

Developed Python automation scripts for log aggregation, anomaly detection, and system health monitoring.

Integrated FastAPI-based microservices into Kubernetes with Helm, Ingress controllers, and secret management using Azure Key Vault and AWS Secrets Manager.

CERTIFICATIONS:

AWS Developer – Associate

EDUCATION:

Master’s in information technology – university of Cincinnati- MAY 2025

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