Senior DevOps Engineer | Cloud Architect | AI Specialist
I am a passionate DevOps and Cloud Engineer with 5+ years of experience in designing, implementing, and optimizing cloud solutions using AWS, Kubernetes, Terraform, and Docker. My expertise lies in building robust CI/CD pipelines, ensuring system reliability, and integrating MLOps workflows to streamline machine learning deployments.
With a strong foundation in infrastructure as code and cloud-native technologies, I help organizations achieve scalability, security, and operational efficiency. My recent focus has been on leveraging AI to build innovative solutions that drive business impact and transform traditional workflows.
When I'm not architecting cloud solutions, you can find me exploring the latest in AI advancements, contributing to open-source projects, or sharing knowledge through tech blogs and community talks.
Led the design and implementation of cloud-native solutions on AWS, optimizing infrastructure for performance and cost-efficiency. Architected CI/CD pipelines that reduced deployment times by 70%.
Implemented infrastructure as code using Terraform and automated deployment processes. Reduced system downtime by 60% through improved monitoring and alerting systems.
EC2, S3, Lambda, EKS, RDS
Scripting, Automation, APIs
EKS, Helm, Operators
Infrastructure as Code
Model Deployment, Monitoring
LLMs, Model Serving
Containers, Orchestration
Jenkins, GitLab, GitHub Actions
End-to-end MLOps pipeline for automated model training, evaluation, and deployment on Kubernetes with CI/CD integration.
Scalable platform for deploying and managing AI models with auto-scaling and monitoring capabilities.
Terraform modules and Python scripts for provisioning and managing cloud resources across multiple environments.
I'm always open to discussing new projects, creative ideas or opportunities to be part of your vision.