phapawith

phapawith@infra:~$ whoami # Infrastructure & Platform Engineer

Phapawith.

I build the systems everything else runs on.

From bare metal to the services on top. I build and run infrastructure that is reproducible, documented, and ready to be restored.

[ OK ] bare-metal · platforms · data · aibuilt to run. documented to last.

I work across the whole stack: the hardware underneath, the network between, and the services people use every day.

I take care of provisioning, storage, containers, databases, and data pipelines — along with TLS, identity, backups, and monitoring.

I care about what happens after a service starts. Can it be understood, changed safely, and restored at 3 a.m. by someone who isn't me? That's the standard I work toward.

A practical toolkit. From the host to the application.

Infrastructure & virtualization

  • Linux
  • Proxmox VE
  • KVM / LXC
  • Ceph
  • ZFS / RAID
  • Backup & restore
  • Bare metal / BMC

Containers & delivery

  • Docker
  • Docker Compose
  • Kubernetes
  • GitHub Actions
  • CI/CD pipelines
  • GitOps
  • Ansible

Networking

  • VLAN / routing
  • Firewalls
  • WireGuard overlays
  • DNS
  • Reverse proxy & TLS
  • SNMP / LLDP
  • Topology mapping

Data & databases

  • PostgreSQL
  • MySQL
  • Replication & PITR
  • dbt
  • Data warehousing
  • BI dashboards
  • Object storage (S3)

Platform services

  • SSO / OIDC / SAML
  • Identity management
  • Secrets handling
  • Prometheus
  • Grafana
  • Log pipelines

Automation & AI tooling

  • Python
  • Bash
  • SQL
  • REST APIs
  • LLM gateways
  • Model serving
  • RAG stacks

Useful services. With the operations thought through.

Application platforms

Compose and Kubernetes stacks with pinned versions, health checks, backups, and a documented restore path.

Access & edge

Single sign-on, private overlay networks, automated certificates, and reverse proxies in front of services.

Data platforms

Scheduled collectors feeding warehouses, dbt models shaping the data, and dashboards making it useful.

Upgrade pipelines

Version bumps that are proposed, tested, and gated before deployment. Small, reviewed changes with a way back.

Observability

Metrics, logs, and inventory in one place, with live network and hardware topology discovery.

AI infrastructure

GPU hosts, model serving, LLM gateways with quotas and cost tracking, and retrieval pipelines on private data.

Let's talk systems.

Infrastructure, platforms, data, or a system that's misbehaving in an interesting way. Those are conversations I enjoy.