Building infrastructure that scales, automates, and never breaks.
2+ years engineering resilient cloud systems on AWS — turning manual operations into repeatable, production-grade pipelines with Terraform, Ansible, Docker, and Jenkins.
I'm a DevOps & Cloud Engineer with hands-on experience designing and automating AWS infrastructure. I specialize in CI/CD pipelines, Infrastructure-as-Code, and container orchestration — building systems that developers trust and operations teams can sleep through.
Holding an M.S. in Artificial Intelligence and Cloud from N.I. Lobachevsky State University, I bridge deep technical execution with architectural thinking. I've automated deployments end-to-end — from Terraform provisioning to Ansible configuration to Jenkins pipelines in production.
Recognized as an AWS Community Builder in Machine Learning (2024), I actively share what I learn on Hashnode and GitHub. I care about zero configuration drift, minimal blast radius, and infrastructure that documents itself.
End-to-end automated deployment pipeline that eliminates manual release processes. Manages dev, staging, and production environments with full parity and zero configuration drift.
Reusable Terraform module library for provisioning production AWS environments. Supports multi-environment deployments with a single codebase and shared remote state.
Programmatic infrastructure deployment using Python and AWS SDK. Removes console interaction by automating provisioning, bootstrapping, and container deployment.
Zero-trust VPC design with private subnet isolation, controlled egress, and hardened access patterns. Enforces least-privilege networking for production workloads.
Containerized Django application on AWS ECS with auto-scaling and load balancing. Demonstrates serverless container hosting without EC2 fleet management.
Open to DevOps, Cloud Engineer, and Platform Engineer roles. I'm particularly interested in teams that value automation, reliability engineering, and infrastructure that scales with the product.
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