About
Over 13 years I've gone from real-time reservation platforms to building AI infrastructure — multi-agent orchestration systems, developer tools, and now persistent semantic memory for coding assistants.
At Apprecio , I lead a cross-functional team of 5 engineers — building AI agents that cut delivery time by 40%, achieving 97.5% token savings through intelligent caching, and optimizing microservice performance by 25% across a multi-tenant platform serving 500K+ users in 6 LATAM countries.
Outside work, I build tools for the AI developer ecosystem — Agentes Hub for multi-LLM code review orchestration, Claude Statusline for developer workflow visibility, and ContextForge, an MCP server in Rust for persistent semantic memory. I believe AI assistants should remember what they learn.
TypeScript for product, Rust for systems, production-tested always. I don't prototype — I ship.
Experience
Full Stack Engineer · AI · Apprecio
Santiago, Chile (Remote)
Lead a cross-functional team of 5 engineers, driving AI agent development and full-stack automation across a multi-tenant rewards platform serving 500K+ users in 6 LATAM countries. Built code review agents with multi-LLM orchestration (Claude, OpenAI, Gemini), achieving 97.5% token cost reduction through intelligent caching. Mentor junior and mid-level developers on AI-native workflows. Drove 40% faster product delivery by automating QA workflows and PR analysis. Optimized microservice performance by 25% across 13+ services handling peak loads during reward campaigns.
Senior Full Stack Developer · Ae Online Solutions
Lima, Peru
Led a team of 3 developers building and integrating a customer management system for discovering valuable business opportunities and data analysis. Scaled the platform to handle 10K+ daily transactions with high availability. Built RESTful APIs with Node.js and PHP, integrated SQL and MongoDB databases, developed frontends with React and Vue.js.
Full Stack Developer · Publicidad y Sistemas OPER
Lima, Peru
Developed real-time reservation management system for web and mobile platforms. Built user interfaces with Angular and Ionic, backend services with Laravel and Node.js, real-time features with Socket.io.
Projects
Agentes Hub→
Multi-agent system that automates PR code reviews with security-focused analysis. Supports Claude, OpenAI, and Gemini with 97.5% token savings through intelligent caching.
- TypeScript
- LangChain
- Claude API
- Node.js
- 97.5% token savings through intelligent caching
- Multi-model support: Claude, OpenAI, Gemini
- Security-focused code analysis pipeline
- Configurable review templates per repository
- Parallel agent execution with conflict resolution
ContextForge→WIP
MCP server in Rust for persistent semantic memory — AI coding assistants that remember decisions, understand codebases, and recover context across sessions.
- Rust
- MCP Protocol
- libSQL
- Vector Search
- tree-sitter
- Hybrid semantic + keyword search (FTS5 + vector embeddings)
- Automatic codebase analysis with tree-sitter (50+ languages)
- Git commit parsing for architectural decision extraction
- MCP native — plugs into Claude Code, Cursor, Copilot
- Single Rust binary, ~4-8MB, zero external dependencies
Claude Statusline→
Rich two-line statusline for Claude Code CLI. Shows context usage, API rate limits with visual bars, git branch, session duration, and lines changed. Published on npm, optimized with batched JSON parsing for <50ms render.
- Bash
- Shell
- Node.js
- npm
- Real-time context window usage visualization
- API rate limit bars with color-coded thresholds
- Git branch, lines changed, and session duration
- Batched JSON parsing for <50ms render time
- Published on npm as @cmorenogit/claude-statusline
Apprecio Rewards Platform→
Multi-tenant rewards platform serving 500K+ users across 6 LATAM countries. 13+ microservices, 25% performance improvement, and 40% faster delivery through AI-powered automation.
- TypeScript
- NestJS
- React
- PostgreSQL
- AWS
- 500K+ active users across 6 LATAM countries
- 13+ microservices architecture
- 25% performance improvement in response times
- 40% faster feature delivery with AI automation
- Multi-tenant with per-country customization