Building an AI-Powered Incident Response Pipeline
Leverage Prometheus, an LLM, Slack, and Jira to build an intelligent pipeline that drastically reduces your Mean Time To Resolution (MTTR).
Know MoreDevOps Engineer specializing in building scalable cloud infrastructure, secure CI/CD pipelines, and automated production systems.
I help organizations eliminate manual deployments, improve system reliability, and deploy software faster using modern DevOps practices.
I am a DevOps Engineer with hands-on experience owning production infrastructure and CI/CD pipelines for enterprise platforms serving thousands of users. My expertise lies in AWS, Azure DevOps, Docker, and Kubernetes.
I have a proven track record of eliminating manual deployments, improving release security, and optimizing cloud costs. Whether it's designing secure network architectures or implementing centralized observability stacks, I focus on building resilient systems that business can rely on.
Years Experience
Users Supported
Automation Focus
Certified Professional
Project: RMS Internal Platform
Designed and implemented Azure DevOps CI/CD pipelines with a blue-green deployment strategy, enabling zero-downtime application releases.
Provisioned and configured Ubuntu production servers, container runtime, and deployment environments for the platform.
Implemented centralized observability using Prometheus, Grafana, and Loki for real-time monitoring, metrics visualization, and log aggregation.
Built an automated daily backup system exporting MongoDB data to AWS S3, ensuring secure off-site backups and disaster recovery capability.
Project: Manpower Supply Platform
Architected the AWS cloud infrastructure and service architecture, provisioning scalable compute, networking, and containerized workloads.
Designed and implemented automated DevSecOps CI/CD pipelines integrating Gitleaks, Trivy, npm audit, and ClamAV to enforce security checks across source code, dependencies, and container images before deployment.
Project: Orange Project – Enterprise Application
Managed production Odoo workloads on AWS ECS, ensuring stable containerized deployments and infrastructure reliability.
Converted manual deployment processes in the UAT environment into automated Jenkins CI/CD pipelines, enabling consistent and repeatable releases during testing and validation.
Project: Cochin International Airport Limited (CIAL)
Established GitLab self-hosted on Linux server. Implemented CI/CD pipelines across DEV, STAGING, and Production environments. Executed deployments using Linux + Docker, Windows + NSSM, and Windows + Apache. Expanded LVM in GitLab Linux server.
Project: 4Labs Website Migration
Migrated 4Labs website frontend and Strapi CMS application from lower spec instance to AWS Lightsail for better performance and cost optimization.
Project: Cloud-Native Monitoring App (Personal Project)
Personal Project. developed a Python-based system to monitor CPU/Memory, containerized with Docker, deployed on Kubernetes.
Designing secure, scalable, and cost-effective cloud architectures on AWS and Azure.
Building robust pipelines to eliminate manual work and speed up release cycles.
Implementing DevSecOps practices, vulnerability scanning, and IAM policies.
Setting up centralized logging and monitoring stacks for full system visibility.
I write technical articles about DevOps architecture, automation, and cloud infrastructure.
Leverage Prometheus, an LLM, Slack, and Jira to build an intelligent pipeline that drastically reduces your Mean Time To Resolution (MTTR).
Know More
Go beyond "green builds" — integrate retries, IaC auto-provisioning, and AI log analysis to create pipelines that fix themselves.
Know More
A deep-dive into the core architecture of Kubernetes clusters, AI-powered operations, GPU scheduling, and security for 2026.
Know MoreIf you are looking for a DevOps engineer who can:
Then I would be happy to collaborate.
Let's TalkInterested in collaborating or hiring me for your next DevOps challenge?