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Title: Engineering Case Studies — Patrick Dev Portfolio

Open Graph Title: Engineering Case Studies — Patrick Dev Portfolio

X Title: Engineering Case Studies — Patrick Dev Portfolio

Description: Six engineering case studies by Patrick Simonetti (Patrick Dev) covering applied AI, bounded agents, full-stack products, infrastructure, ML, and backend reliability.

Open Graph Description: Six distinct engineering proof domains, connected through architecture, security, evaluation, delivery, and operational evidence.

X Description: Six engineering proof domains with explicit claims, boundaries, and repository evidence.

Mail addresses
jobs@patrickdev.it

Opengraph URL: https://patrickdev-it.github.io/projects/

direct link

Domain: patrickdev-it.github.io


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authorPatrick Simonetti
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Links:

Skip to contenthttps://patrickdev-it.github.io/projects/#main
Patrick Devhttps://patrickdev-it.github.io/
Workhttps://patrickdev-it.github.io/projects/
Abouthttps://patrickdev-it.github.io/about/
GitHubhttps://github.com/PatrickDev-it
Released · applied AI systemsAI Prompt OptimizerProject-aware intent compilation, secure remote orchestration, deterministic fallback, and measured evaluation.Review applied-AI evidence →https://patrickdev-it.github.io/projects/ai-prompt-optimizer/
Public alpha · bounded operationsSysOps AgentFail-closed classification, command policy, verification, recovery, and redacted audit trails.Review agent safety evidence →https://patrickdev-it.github.io/projects/sysops-agent/
Release candidate · full-stack productAutoBlog CMSIdentity, RBAC, revisions, concurrency, durable jobs, accessibility, and bounded AI/media operations.Review product evidence →https://patrickdev-it.github.io/projects/autoblog-cms/
CI green · infrastructureAuthenticated Privacy ProxyAuthenticated ingress, request policy, layered routing, DNS controls, containers, and host automation.Review infrastructure evidence →https://patrickdev-it.github.io/projects/privacy-proxy/
Scientific ML engineeringProduct Image ClassifierData lineage, reproducible experiments, calibration, error slices, model cards, and CPU-first inference.Review ML evaluation scope →https://patrickdev-it.github.io/projects/image-classifier/
Backend reliabilityMulti-tenant Loyalty PlatformTenant isolation, idempotency, durable work, concurrency, auditability, and recovery.Review reliability scope →https://patrickdev-it.github.io/projects/loyalty-platform/
Privacyhttps://patrickdev-it.github.io/privacy/
Abouthttps://patrickdev-it.github.io/about/
Homehttps://patrickdev-it.github.io/
GitHubhttps://github.com/PatrickDev-it

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