DanielGarza
Remote: Yes (preferred) — or hybrid LA/Irvine
Willing to relocate: No
Technologies: Multi-agent orchestration (LLM agents in production), Python, TypeScript, GCP/Azure, RAG/vector search, multi-tenant architecture (PostgreSQL RLS), zero-trust architecture, SIEM/SOC operations, SOC2/FedRAMP-adjacent compliance, CI/CD
Résumé/CV: https://linkedin.com/in/garza
Code: https://github.com/Netrun-Systems
Email: [email protected]
Seeking: VP / Director / Head of Engineering — AI-agent platforms, security engineering, or the intersection. Currently Founder/CEO of Netrun Systems, where I've shipped a production agent-orchestration platform (Wilbur) and filed 20 provisional applications. Previously Technical Director of Cyber Defense at Amtrak (~40% incident reduction across a 20,000+ endpoint estate under TSA directives) and Microsoft. I want a platform-scale leadership seat where an operator who has actually run agentic systems in production — and defended critical infrastructure — beats a résumé keyword match. Happy to show working systems rather than talk about them.
Remote: Yes (preferred) — or hybrid LA/Irvine
Willing to relocate: No
Technologies: Multi-agent orchestration (LLM agents in production — 79+ agents), Python, TypeScript, GCP/Azure, RAG/vector search, zero-trust architecture, SIEM/SOC operations, SOC2/FedRAMP-adjacent compliance, CI/CD
Résumé/CV: https://linkedin.com/in/garza
Email: [email protected]
Seeking: VP / Director / Head of Engineering — AI-agent platforms, security engineering, or the intersection. Currently Founder/CEO of Netrun Systems, where I've shipped a production agent-orchestration platform (Wilbur) and filed 20 patents. Previously Technical Director of Cyber Defense at Amtrak (32M+ annual passengers; ~40% incident reduction) and Microsoft. I'm looking for a platform-scale leadership seat where an operator who has actually run agentic systems in production — and defended critical infrastructure — beats a résumé keyword match. Happy to show working systems rather than talk about them.
*What's included (all MIT licensed):*
- netrun-auth: JWT + Casbin RBAC + multi-tenant isolation - netrun-logging: Structlog backend with auto-redaction of sensitive fields - netrun-config: Azure Key Vault integration with TTL caching - netrun-errors: Exception hierarchy mapped to HTTP status codes - netrun-cors: OWASP-compliant middleware - netrun-db-pool: Async SQLAlchemy connection pooling - netrun-llm: Multi-provider LLM orchestration (Azure OpenAI, Ollama, Claude) - netrun-env: Schema-based environment validation - netrun-pytest-fixtures: Unified testing fixtures - netrun-ratelimit: Token bucket rate limiting
*Design philosophy:* - Soft dependency pattern: each package works standalone but integrates when others are installed - Zero required config: sensible defaults, override what you need - Async-first: built for FastAPI and modern Python
*Quick install:* pip install netrun-auth netrun-logging netrun-config
Happy to answer questions about the implementation choices. The LLM package in particular has some interesting patterns for provider fallback and cost optimization. https://pypi.org/user/NetrunSystems/