Network operations · Infrastructure · Systems

I make complex systems observable

I work where networks, infrastructure, and people meet—troubleshooting hard failures, improving messy processes, and building practical systems that hold up.

Explore the work
DK / 01 Systems
thinking
Trace the whole path.
Select a node

Good infrastructure should feel quiet.

Not simple underneath—clear at the surface. Reliable, understandable, and ready for the strange day.

A / 01

Trace the whole path

A symptom rarely respects team boundaries. Start at the user, follow every layer, and test the story against reality.

OBSERVE → ISOLATE → VERIFY
A / 02

Build for the handoff

A system is not finished when it works once. It is finished when someone else can understand, operate, and recover it.

CLEAR → REPEATABLE → DURABLE
A / 03

Automate the friction

Remove the repetitive parts without hiding the logic. The best tools make good decisions easier to repeat.

REDUCE → DOCUMENT → IMPROVE

Where curiosity becomes infrastructure.

Small enough to understand end to end. Real enough to expose the tradeoffs.

01

NETWORK LAB / ONGOING

Resilient home edge

Open-source firewalling, remote access, traffic visibility, virtualization, and a deliberate path toward segmentation and failover.

  • OPNsense
  • WireGuard
  • Proxmox
  • UniFi
02

SMALL-ORG IT / PRACTICAL SECURITY

Human-scale cloud operations

Turning scattered accounts, files, devices, and access patterns into a manageable workspace—with the process and safeguards to match.

  • Microsoft 365
  • Identity
  • SharePoint
  • Policy
03

OPERATIONS / TOOLING

Automation for the annoying parts

Converting repetitive checks, fragile copy-paste work, and handwritten reports into guided tools that stay transparent.

  • Python
  • PowerShell
  • Spreadsheets
  • APIs

Technical depth.
Human context.

I’m Daniel, an infrastructure-minded technologist based in Ohio. I like the problems that live between systems: where a routing issue looks like an application issue, a process issue hides inside a spreadsheet, or an obscure failure needs both patience and a packet-level view.

CURRENT TRAJECTORY

SupportOperationsEngineeringWhat’s next

Going deeper in network engineering, Linux, cloud infrastructure, and automation—while staying close to the real-world problems those systems exist to solve.

THE FUTURE IS A SYSTEM WE’RE ALREADY OPERATING.

Stay curious.
Make it reliable.

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