Patrick Simonetti (Patrick Dev) — AI Agent, Platform & Full-stack Engineer

I work publicly as Patrick Dev and PatrickDev-it. I design, build, and deploy AI agents and product systems across the complete delivery path: model/runtime integration, tool execution, backend boundaries, web interfaces, infrastructure, CI/CD, observability, and release evidence.

Engineering portfolio · Engineering case studies · LinkedIn · Email

Engineering roles

Role	What I engineer	Core stack
AI Agent Engineer	Local and provider-backed agent runtimes, typed tool contracts, bounded execution, fallback, evaluation, memory/context flows, and traceable outcomes	Python, TypeScript, llama.cpp/GGUF, WebSocket/HTTP, Pydantic, provider adapters, deterministic test doubles, evaluation corpora
Platform Engineer	Reproducible environments, container delivery, multi-OS CI/CD, infrastructure automation, security gates, artifact provenance, health checks, and rollback paths	Docker/OCI, GitHub Actions, Linux, Windows, Terraform, Ansible, Helm, SBOM, dependency and secret scanning
Full-stack Engineer	Accessible web products with durable workflows, authenticated APIs, authorization, persistence, concurrency control, background jobs, and production-quality testing	TypeScript, React, Next.js, Python APIs, PostgreSQL/libSQL, MongoDB, RBAC, Playwright, accessibility and performance testing

Selected work

Project	Engineering evidence
AI Prompt Optimizer	Released project-aware AI intent compiler with authenticated protocol boundaries, deterministic fallback, versioned evaluation, SBOM, provenance, and v1.0.0. Repository.
SysOps Agent	Public-alpha local operations agent with fail-closed classification, bounded commands, verification predicates, recovery loops, and redacted audit trails. Repository.
AutoBlog CMS	Full-stack editorial release candidate with database sessions, workspace RBAC, immutable revisions, conflict-safe editing, durable jobs, E2E, accessibility, and security evidence. Repository.
Authenticated Privacy Proxy	Containerized Mitmproxy–Privoxy–Tor chain with authenticated ingress, policy enforcement, DNS controls, host automation, and green CI/security scans. Repository.
Product Image Classifier	Scientific ML modernization scoped around reproducible lineage, calibrated evaluation, error slices, and portable inference; historical results require revalidation. Repository.
Multi-tenant Loyalty Platform	Backend reliability modernization scoped around tenant isolation, idempotency, durable jobs, auditability, concurrency, and recovery. Repository.

Operating standard

• Claims include their environment, method, limitation, and reproduction path.
• Model output and external providers terminate at typed, tested, observable boundaries.
• Releases promote immutable artifacts with security, provenance, recovery, and rollback evidence.

Based in Rome, Italy; available for AI agent, platform, and full-stack product engineering work. This profile uses no tracking widgets, pixels, or generated activity claims.