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Luis C. (LCGF)
Pleno Full-Stack Engineer
The wand no longer needs a wizard. Valar Morghulis.

I design and ship production systems across AI infrastructure, multiplayer backends and web platforms. Most of my day-to-day work happens in private repositories, so this profile focuses on architecture, stack and outcomes.


what i build

Domain Description Stack
AI security tooling Skill scanner with pattern detection, integrity hashing and community reputation tracking Python FastAPI SQLite Docker
Inference routing Rust reverse proxy for local LLM inference — Axum, Tokio, CPU/GPU spillover, slot queues, SSE dashboard Rust Axum Tokio Ollama Qdrant Nginx Docker
Agent orchestration Spawn and manage autonomous AI agents in Docker — warm pool, persistent memory, multi-provider LLM fallback chain, web + TUI interfaces Python FastAPI Docker Mem0 Qdrant Ollama Vertex AI htmx SSE
Game analytics SaaS Player data ingestion and OLAP analysis at scale — AI-powered auto-config, OAuth, real-time dashboards; in production on large multiplayer servers Laravel React TypeScript ClickHouse MariaDB Redis Replicate Inertia Beanstalkd Docker
AI + game dev Godot 4 editor plugin — describe a building in natural language, AI generates CSG geometry with real textures in-engine GDScript Godot 4 Replicate PolyHaven
Multiplayer framework Modular FiveM boilerplate with OOP Lua, Vue 3 NUI, per-module lifecycle, JS obfuscation and Lua obfuscation via Prometheus Lua Vue 3 TypeScript Bun Vite Tailwind Prometheus oxmysql

impact snapshot

  • Built and maintained systems with sustained weekly delivery across private repos.
  • Worked on latency-sensitive services (inference routing and real-time multiplayer workloads).
  • Delivered production-grade observability and incident-oriented tooling for operations.
  • Focused on secure-by-default patterns for backend and agent workflows.

stack


languages




frameworks & engines




infra & tools

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current focus

  • Rust services for AI inference and orchestration
  • Secure agent execution pipelines
  • FiveM backend architecture and performance

AI infrastructure · game backends · security tooling
Open to collaborations where architecture quality, reliability and security are first-class constraints.

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