The systems problem
Large local models and multiple virtual machines compete for the same unified memory. The useful answer is not a panic button—it is a measured, explainable way to recover headroom.
IT solutions specialist · software builder
I build, troubleshoot, secure, and automate real systems.
I build software, operate infrastructure, troubleshoot complex systems, and use local AI to turn technical ideas into practical tools.
- Focus
- Systems · Security · Automation
- Education
- Dual degree · May 2026
- Based in
- North Carolina
01
Build purpose-built systems software
02
Operate resilient self-hosted infrastructure
03
Diagnose with evidence, not guesswork
Native macOSInfrastructureCybersecurityLocal AIAutomationDigital Forensics
01 · Flagship product
MemoryPilot
A native macOS control system that watches host memory, local AI growth, Parallels virtual machines, and responsiveness—then explains the current policy result before it takes a bounded action.
Read the full case study
The safety boundary
Automation starts paused and observe-only. Every action is bounded, identity-checked against fresh discovery, and blocked when state is ambiguous. The app never exposes a generic power-command interface.
The operating view
The dashboard pairs the host signal with pressure history, responsiveness traces, detected local-model footprint, and the next likely policy outcome—so recommendations explain why they exist instead of appearing as a black box.
01MonitorMach metrics · swap · trends
→
02AnalyzePressure · activity · policy
→
03ExplainProposal · reason · safeguard
→
04Act safelyOpt-in · revalidate · audit
Swift 6SwiftUISwiftPMMach + sysctlParallels CLILocal JSONmacOS 14+
Career trajectory
From fixing devices to designing systems.
Each step added a layer: hardware judgment, user support, business context, security thinking, infrastructure operations, and finally software built around the problems I kept encountering.
- Foundation
Repair & refurbishment
Hardware diagnostics, operating-system recovery, migrations, asset handling, and clear customer communication.
- 2022—26
Systems + security education
Appalachian State University: BSBA in Computer Information Systems, minor in Accounting, and a separate BS in Cybersecurity.
- Professional
IT solutions work
Cross-platform troubleshooting across Windows and macOS, storage, networks, applications, accounts, malware response, and evidence-based root-cause analysis.
- Current
Product & infrastructure builder
MemoryPilot, Hermes, local AI pipelines, secure automation, and a persistent homelab for testing, monitoring, and recovery practice.
- Next
Security & systems direction
Cybersecurity analysis, infrastructure engineering, Microsoft cloud identity, observability, and secure operations.
2
distinct bachelor’s degrees
3.7
cumulative GPA
May ’26
Appalachian State graduate
Technical systems knowledge + cybersecurity + business understanding + practical problem-solving.
Selected systems
Work built from real constraints.
Projects are ordered by what they demonstrate: product judgment, reliable automation, infrastructure ownership, long-running data work, and disciplined diagnosis.
02
Native macOS · Multi-agent AI
Orchestra
A native macOS orchestration platform for autonomous coding and research workflows. Orchestra routes work across multiple local LLMs and persistent specialized agents, pairing local tool use, computer-use automation, OpenCode integration, and resource-aware parallel inference with durable missions and reviewable handoffs.
Route→Direct→Code→Review
Local LLMsModel routingComputer useOpenCodePersistent agents · durable missions
03
Local AI · Knowledge systems
Hermes AI Agent & Knowledge System
A local-first environment connecting LM Studio, structured Obsidian memory, project documentation, APIs, and cross-platform systems. Designed to keep context useful without pretending automation is infallible.
Explore HermesLM StudioObsidianDockerAPIsActive · reliability work ongoing
04
Infrastructure · Security
Homelab Infrastructure Platform
A persistent learning and services environment built around virtualization, containers, storage, segmented networking, remote access, monitoring, backups, and security tooling.
View the architectureProxmoxDockerTrueNASUniFiOperating · continuously evolving
05
Local AI · Batch processing
Local AI Video Processing System
A resumable pipeline for transcription, frame analysis, and title generation across macOS and Windows. It treats malformed JSON, empty model responses, large files, and partial runs as engineering conditions—not surprises.
Input→FFmpeg→Whisper→Local LLM→Validated output
WhisperFFmpegLM StudioJSONBuilt for recoverable unattended runs
06
Forensics · Root-cause analysis
Digital Forensics & Advanced Troubleshooting
Evidence-led investigation using packet captures, event logs, reliability history, crash data, storage diagnostics, controlled tests, and hardware substitution.
Gather evidence, form hypotheses, isolate variables, test carefully, correlate results, and document the recovery path.
WiresharkEvent ViewerSMARTCrash dumpsGeneralized lab and professional methods
07
Integration · Operations
IT Workflow Automation
Connecting operational data, documentation, local services, APIs, status tracking, and AI-assisted processing—with deliberate human review around consequential actions.
Map the dataHandle failureLog clearlyKeep review
Make.comREST APIsLocal servicesNotificationsPrivacy-conscious and reviewable
Infrastructure platform
A homelab built to be operated.
Not a shelf of hardware—a working environment for persistent services, recovery practice, security experiments, cross-platform integration, and ideas that need somewhere real to run.
Edge
Network edgeFiber · segmentation · secure ingress
Remote accessPrivate mesh + public service tunnel
Compute
Virtualization coreProxmox · VMs · Linux containers
Container servicesDocker · persistent applications
Local AI systemsModels · agents · processing
Operations
Storage & recoveryTrueNAS · snapshots · backups
ObservabilityUptime · endpoint visibility
Security servicesDNS filtering · monitoring · experiments
Public-safe logical view. Internal addresses, identities, routes, and security rules are intentionally omitted.
Run
Persistent self-hosted services and automation
Recover
Backups, snapshots, failure analysis, and resilience practice
Observe
Availability, endpoint signals, and operational context
Learn
Infrastructure concepts beyond classroom labs
Hardware behind the work
Compute with a job to do.
Each system expands what I can build, test, or understand. The value is in the workload—not the spec sheet.
Primary macOS workstation
16-inch MacBook Pro
M4 Max 128 GB unified memory 8 TB
Large local models, native macOS development, transcription workloads, VMs, automation, and cross-platform testing.
Windows workstation
High-performance test platform
Core i7-14700K RTX 4080 16 GB 64 GB RAM
Windows diagnostics, GPU workloads, virtualization, driver analysis, AI experiments, and controlled performance testing.
Homelab compute + network
Always-on learning platform
2 compute nodes multi-gig network UPS-backed
Proxmox, containers, storage, monitoring, security services, remote access, backups, and public portfolio hosting.
Demonstrated skills
Capabilities in context.
Tools matter when they support a repeatable way of thinking: understand the system, control the risk, test the change, and leave useful documentation behind.
Software & automation
Swift, SwiftUI, Python, shell, REST APIs, JSON workflows, Git, Make.com
Systems & virtualization
macOS, Windows, Linux, Proxmox, Parallels, Docker, storage and recovery
Networking & security
Segmentation, secure remote access, DNS, Cloudflare Tunnel, Wazuh, traffic analysis
Hardware & diagnostics
Component testing, SMART, migrations, refurbishment, WHEA and PCIe analysis
Local AI & processing
LM Studio, local model workflows, Whisper, FFmpeg, prompt and output validation
Forensics & evidence
Wireshark, tshark, NetworkMiner, Event Viewer, crash data, log correlation
Documentation & knowledge
Obsidian, runbooks, case studies, troubleshooting records, clear user communication
Where I’m headed
Systems that are secure, observable, and explainable.
I’m pursuing roles where deep troubleshooting, infrastructure understanding, security judgment, and pragmatic automation reinforce one another.
View experience & résumé- 01
Cybersecurity analysis and security operations
- 02
Systems and infrastructure engineering
- 03
Microsoft 365 identity, access, and MS-102 preparation
- 04
Observability and secure, repeatable automation
- 05
Purpose-built software including MemoryPilot and local AI systems
Start a conversation
Looking for someone who can see the whole system?
I’m interested in cybersecurity, systems, infrastructure, and automation-focused opportunities where careful technical work matters.