I build production LLM and agent systems that survive real traffic. I have been shipping AI/ML since 2014, years before the LLM boom, not after it.

16 years in software across fintech, banking, healthcare, legal tech, AR / computer vision, and AI infrastructure. AI/ML since 2014 (on-device computer vision at INDT), with the last 4+ years on production LLM and agentic platforms, not just calling model APIs. I have run security engineering at a bank, taken a co-founded product through acquisition, and today maintain mobile SDKs embedded across hundreds of apps with a combined install base in the billions.

Range: hands-on IC (Python, TypeScript, RAG, agent orchestration, MCP) through architecture and leadership (teams of 11 to 20+, PCI DSS / GDPR / LGPD ownership).

ApplyScope - AI-powered remote job-intelligence platform for tech and tech-adjacent roles. Scrapes 8+ ATS sources and evaluates every posting with an LLM against a structured candidate profile and location fit, behind a full-stack application-tracking dashboard with subscription tiers. Python FastAPI (layered services / repositories, in-process event bus, arq + Redis background queue, multi-provider LLM abstraction) Next.js PostgreSQL (multi-tenant Row-Level Security) Prometheus OpenTelemetry. Self-hosted, prod + beta.

• large-file-mcp - MCP server that lets agentic coding assistants (Claude Code, Cursor, Gemini CLI) work with files larger than the LLM context window. On npm + the Glama registry. TypeScript Node 18+ MCP SDK Jest Docker
• mcp-gateway-scan - read-only scanner that grades MCP / agent gateways across production-readiness dimensions. npx mcp-gateway-scan, Glama-listed.
• document-management-system - multi-tenant RAG SaaS: Textract OCR to GPT-4 classification to embeddings to pgvector + HNSW retrieval, multi-tenant Row-Level Security. NestJS 11 Next.js 15 PostgreSQL 16 pgvector AWS CDK v2
• ProductFactory - multi-LLM agent orchestration (OpenAI, Anthropic, Mistral) that turns GitHub issues into reviewed code with cost-aware model-per-role routing. Python Clean Architecture pytest
• smart-summary-app - full-stack AI summarization with SSE streaming.
• AI observability lab - self-hosted Langfuse + Grafana + Prometheus on a personal VPS to validate agent topologies, retrieval strategies, and cost tradeoffs before client work.

• 48h to under 5 minutes document processing with 70% cost reduction on a regulated fintech KYC pipeline
• 60% latency reduction and 25% payment-success lift on Fortune 500 banking systems
• 99.9% uptime payment SDK serving 10M+ users
• One co-founded platform taken through acquisition

Open to Staff / Principal / Architect and Applied / Platform AI engineering work (remote, contractor). Also available for fractional AI architecture and technical due diligence via provenwright.com.

me@willianpinho.com | linkedin.com/in/willianpinho | willianpinho.com