Luiz Frias

AI ArchitectSystems ThinkerCross-Domain TechnologistSymbolic Systems ArchitectAI-Native Strategist

Software engineer and AI architect with 135K+ lines of production code across Rust, Python, and TypeScript. Building semantic code search engines (75K LOC Rust, 15-crate workspace), Recursive Language Model frameworks (7 LLM providers, subprocess-isolated execution), and cross-platform applications (Tauri + Leptos/WASM).

Operating with a portfolio mindset and behavioral flywheel methodology — every project ships as a production-grade portfolio piece with hexagonal architecture, typed error handling, and comprehensive quality gates. Each output feeds back as structured input for the next cycle, compounding capability across domains.

Technical Skills

LLM ArchitectureRAG PipelinesRecursive Language ModelsAgentic SystemsEmbeddingsOpenAI APIAnthropic APIGemini APIVoyageAIVector DatabasesTree-SitterONNX RuntimeSemantic SearchMCP ProtocolMilvusHNSW
Node.jsBunPythonRustREST APIsgRPC / ProtobufPostgreSQLSQLite / libSQLHexagonal ArchitectureTypestate PatternsClapTokioDrizzle ORMTauri v2
TypeScriptReactNext.js 15Leptos / WASMTailwind CSS 4Server ComponentsMDXECharts / PlottersResponsive DesignAccessibility
DockerGitHub ActionsVercelRailwayCI/CD PipelinesPre-commit (prek)Cargo Deny / AuditLinux
DTW ClusteringSpectral AnalysisTime SeriesMLflowPolarsOptunaData VisualizationSQLPandasSciPy / NumPy

Career Trajectory

Full-Stack Foundations

Built end-to-end web applications and data pipelines, developing deep expertise in TypeScript, React, and backend systems.

Systems Architecture

Designed distributed systems and event-driven architectures. Led teams through complex technical migrations and infrastructure modernization.

AI Systems Engineering

Architecting production LLM systems — RAG pipelines, agentic frameworks, and AI-native applications. Bridging AI capabilities with real business impact.

Cross-Domain Integration

Connecting AI, data science, and business strategy into cohesive systems. Building tools and frameworks that compound in value over time.

Production Tools & Frameworks

Publishing production-grade open source tools — semantic code agents in Rust, TypeScript SDKs, and research frameworks — each designed to compound in value across the engineering community.

Engineering Philosophy

Systems Thinking

Every component exists within a larger system. Understanding feedback loops, dependencies, and emergent behavior leads to solutions that are resilient and adaptable rather than brittle.

First Principles

Break problems down to their fundamental truths. Question assumptions, challenge conventional approaches, and build solutions from verified foundations rather than inherited patterns.

Clarity Over Comfort

Precision in communication and architecture. High signal density, explicit assumptions, and actionable specificity over vague generalities.

Integrity-Driven

Truth over agreement. Building enduring systems requires honest assessment of tradeoffs, transparent decision-making, and uncompromising quality standards.

Context as Contract

Every interface between systems is an implicit contract. Make context explicit, dependencies visible, and boundaries testable. When contracts are clear, systems compose reliably.

Power-Aware Design

Not all effort is equal. Identify where leverage exists in a system — tooling, abstractions, and interfaces — then invest disproportionately at those high-leverage points for compounding returns.