I build, secure, recover, and modernize the systems people depend on.
I’m Joseph Miller, a hands-on systems engineer in Oregon. I’m drawn to migrations, failures, and inherited environments where the answer crosses virtualization, storage, identity, networking, cloud platforms, security controls, or recovery.
This portfolio is the record of work I have completed, systems I have built, and technical problems I have learned to make safer and more understandable.
AI systems
Local inference · agents · model serving
Selected successful work
Projects that show how I operate
Virtualization · SAN · Recovery
Enterprise VMware-to-Hyper-V migration
Moved production workloads to Windows Server 2025 Hyper-V while preserving VM identity, networking, application availability, source SAN safety, and a recoverable starting point.
Evidence:
Isolated boot, identity, storage, network, and application checks
Built a high-memory professional NVIDIA GPU environment for local models, OpenAI-compatible APIs, agent gateways, model routing, and controlled remote access.
Evidence:
Authenticated APIs, model routing, and controlled access
Deployed and repaired AVD session hosts, then turned the recovery sequence into staged scripts with discovery, tracking, registration, and validation logs.
Evidence:
Discovery, registration, agent, profile, and session validation
Recovered data from an old PowerPC-era disk image by identifying and repairing HFS+, mounting encrypted sparse images, and copying data to modern storage.
Evidence:
Mounted the repaired source and copied recovered data safely
A symptom in one system often begins in DNS, identity, storage, networking, certificates, tokens, virtualization, or time.
I protect the way back
Before a risky change, I identify the authoritative source, the recovery point, the irreversible step, and the evidence that will prove the new state is healthy.
I verify the complete function
A running VM or green job is not enough. I check boot, identity, data, networking, applications, dependencies, and the outcome people actually need.
How I approach a hard system
Inspect. Map. De-risk. Build. Verify. Document.
Inspect reality
I start with observed state instead of trusting an old diagram or assumption.
Map dependencies
I follow identity, data, network, application, and recovery paths.
Control risk
I separate reversible work from changes that need a stronger checkpoint.
Verify the result
I test the real function, not only the component I changed.
Capture the lesson
I leave a clearer record and a safer next step.
Public engineering artifacts
Selected source you can inspect
This is a deliberately public, sanitized repository—not a feed from private systems or current infrastructure activity.
Security telemetry · public repository
So-dshield
A documented DShield sensor log collection and Elasticsearch ingestion workflow for security analysis.
I’m designing an agent that can maintain a source-of-truth view of infrastructure, correlate telemetry and prior incidents, explain likely failure paths, recommend fixes with evidence, and verify recovery.
The boundary is architectural: source access is read-only, remediation stays human-controlled, and nothing from the assistant is exposed through this public site.