I design and automate reliable cloud platforms with so teams can ship faster, scale safely, and operate with confidence.
DevOps Engineer focused on automation, resilience, and scalable delivery systems
I am an aspiring DevOps Engineer building hands-on experience across cloud infrastructure, container platforms, CI/CD systems, and observability. I enjoy turning manual workflows into repeatable automation, designing secure deployment patterns, and creating platforms that are easier to operate in real production environments.
Automated build and deployment workflows
Metrics, dashboards, logs, and operational visibility
Technologies I use to build, automate, deploy, and operate systems
A portfolio aligned to how modern engineering teams build, ship, and operate software
Building secure, scalable environments with VPC design, compute, storage, networking, and deployment patterns across AWS and GCP.
Using Terraform to create repeatable environments, standardize infrastructure, and reduce configuration drift between stages.
Automating build, test, and deployment workflows so releases become faster, safer, and easier to maintain.
Adding dashboards, metrics, logs, and health visibility that help teams detect issues quickly and operate services confidently.
DevOps projects centered on infrastructure, automation, deployment, and reliability
Architected and deployed an enterprise-grade, cloud-native AI platform for genomic disease risk prediction. Designed end-to-end AWS architecture with CloudFront, S3, ALB, ECS Fargate, and DocumentDB (Multi-AZ). Implemented asynchronous processing using SQS and worker containers for scalable genomic analysis.
Built the deployment architecture for a compute-heavy document pipeline on GCP using Cloud Run, Cloud SQL, private networking, and managed services. The design emphasized autoscaling, secure service communication, and operational simplicity for backend workloads.
Provisioned a reusable AWS environment with VPC networking, public and private subnets, NAT Gateway, bastion access, and load balancing. This project showcases foundational DevOps capabilities around infrastructure design, security boundaries, and repeatable provisioning.
Implemented an observability stack using Prometheus, Grafana, and centralized logging practices to improve service visibility. The setup focused on actionable dashboards, alert readiness, and the foundations of SRE-style operations.
Signals of the tools, practices, and engineering areas I am actively building around
Hands-on work with core AWS services for networking, compute, storage, and application delivery.
Practical exposure to Docker, ECS, and Kubernetes for packaging and operating distributed applications.
Experience automating delivery pipelines with GitHub Actions, Jenkins, scripting, and repeatable workflows.
How my learning has evolved toward platform engineering and production operations
Started exploring Linux, cloud fundamentals, Git, and the DevOps lifecycle
Built AWS infrastructure projects with Terraform and learned practical networking patterns
Expanded into containers, CI/CD pipelines, observability, and production-style architecture
Targeting DevOps, Cloud, or Platform Engineer roles with strong automation ownership
Open to DevOps internships, cloud engineering roles, freelance builds, and technical collaborations