Production-focused Full Stack / Cloud Engineer
I build web applications, automate deployments, and design reliable cloud workflows with Docker, GitHub Actions, Terraform, AWS, and observability tooling. I'm also exploring AI-assisted DevOps workflows for incident triage, runbooks, and engineering productivity.
Currently focused on cloud infrastructure, CI/CD, observability, and AI-enabled engineering tools.
Capabilities
CI/CD & Automation
GitHub Actions, deployment pipelines, release checks, repeatable delivery.
Cloud & Infrastructure
AWS, Linux, Nginx, Docker, Terraform, and production-style environments.
Observability
Prometheus, Grafana, Loki, logs, metrics, alerts, and runbooks.
AI-assisted Engineering
RAG, LLM workflows, incident triage, documentation, and DevOps copilots.
Self-hosted infrastructure, end-to-end
The strongest proof project on the site — a production-style monitoring stack I built, configured, and ran locally.
CI/CD Pipeline for a Full-stack App
A practical GitHub Actions workflow for shipping a Next.js + Node app — typecheck, lint, test, Docker image build, and a deploy job that runs only on green main.
- ProvisioningTerraform + DigitalOcean / Hetzner
- RuntimeDocker Compose, healthchecks, named volumes
- MetricsPrometheus + node_exporter
- LogsLoki + Promtail
- DashboardsGrafana with recording rules
- AlertsAlertmanager → Discord
- EdgeNginx reverse proxy + Let's Encrypt TLS
- BackupsRestic to S3, nightly
AI & Cloud explorations, framed as concepts
Design notes for systems I want to build next. Honest about scope: these are studies and prototypes, not shipped products.
A planned dashboard that surfaces idle AWS resources, oversized instances, and cost anomalies — ranking findings by projected monthly savings.
A planned CLI + web copilot that triages production logs, drafts incident summaries, and proposes runbooks — grounded in retrieved prior incidents.
Hands-on practice, not just theory
A working log of practical labs across Linux, Docker, CI/CD, AWS, Terraform, and observability.
Linux & Shell Foundations
Daily-driving Ubuntu and Debian for development. SSH key auth, tmux workflows, and shell scripting for repeatable tasks.
Docker & Compose
Containerized full stack apps with multi-stage builds, healthchecks, and a Compose stack for local dev parity with prod.
CI/CD with GitHub Actions
Pipelines that run typecheck, lint, tests, build artifact, and deploy to Vercel and AWS on every push.
AWS Foundations
Hands-on with EC2, S3, IAM, Route 53, and CloudWatch. Hardening security groups, least-privilege policies, and cost guards.
Terraform IaC
Codifying infrastructure with Terraform modules and remote state. Reproducible environments without ClickOps.
Monitoring & Observability
Prometheus + Grafana + Loki stack for metrics, dashboards, and log aggregation. Alerting on real failure modes, not noise.
Notes from the engineering desk
Short, practical notes on Linux, DevOps, React, Next.js, cloud, and AI tools.
Where I'm coming from, where I'm going
My full-stack work gave me the foundation to understand how applications are built. My current focus is taking that further into how applications are shipped, monitored, automated, and improved in production.
Full Stack Developer
Hitech People Inc.
Jan 2024 — Present
Building web applications and internal tooling while growing into cloud and DevOps. Pairing day-to-day product work with deliberate practice in CI/CD, containers, and AI-assisted engineering.
- Contributing to Next.js applications used internally and by clients
- Practicing Docker, GitHub Actions, and Linux administration on real workloads
- Using AI tools (Claude, Cursor) to accelerate review, refactors, and documentation
Looking for a developer who understands both application code and production systems?
I'm focused on roles where I can build full-stack products, improve delivery pipelines, automate infrastructure, and use AI to make engineering workflows faster and more reliable.