Governed ingestion
Repeatable intake patterns for files, scans, spreadsheets, and operational records with traceable identity and reviewable receipts.
Founder · Solutions Architect · Platform Systems Builder
I build evidence-first systems that make messy operations inspectable.
My work combines operations discipline, software architecture, DevOps habits, workflow automation, and local-first infrastructure. The goal is practical: turn scattered artifacts and process steps into traceable evidence before making bigger automation or AI claims.
What I build
Practical architecture for evidence, operations, and automation readiness.
Workflow orchestration
Guarded workflow lanes that separate operators, conductors, execution boundaries, policy checks, and read-only proof surfaces.
Source-backed observability
Dashboards, summaries, and portfolio-safe proof points that make it clear what happened and which evidence supports each claim.
Local-first infrastructure
Linux, Docker, scripting, repository discipline, and lab hardware arranged for controlled rehearsal, cost awareness, and explainability.
Featured project
StarkGrid
StarkGrid is a private MVP/demonstration project for deterministic artifact ingestion, evidence review, and governed automation. This public page presents a sanitized case study only. It does not expose private source code, runtime evidence files, private machine details, secrets, or internal operations.
The case study demonstrates how I think about systems: keep module boundaries clear, prove claims with receipts, and preserve caveats when a capability has not been enabled or validated for production.
Open the case studyContact
Connect with Quentin McClellan.
Use the professional domain email or LinkedIn profile for public portfolio follow-up.
Email: contact@quentinmcclellan.com
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Resume link coming soon.
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