Full Stack Engineer
Computer Engineer with 8+ years building scalable backend systems, fintech platforms and AI-powered pipelines. Specialized in microservices, event-driven architectures and LLM integration.
Computer Engineering
Universidad Simón Bolívar
Diploma in Software Architecture & Cloud
Pontificia Universidad Javeriana
Backend Engineer
Backend engineering focused on AI-powered document intelligence and enterprise systems integration, working across LLM pipelines, OCR providers, and middleware automation.
Software Engineer IC5 / Engineering Manager
Six years across three roles growing from engineer to tech lead, building a Fintech platform for trucking fleet management.
Backend Engineer
Backend development for academic systems at a Venezuelan technology company.
Support Assistant
Support role developing internal academic management systems at Venezuela's top engineering university.
Backend Engineer
Backend engineering focused on AI-powered document intelligence and enterprise systems integration, working across LLM pipelines, OCR providers, and middleware automation.

Fuel management and fintech platform built as a multi-app monorepo (backend, mobile, admin web, station gateway) with a multi-tenant financial system, real-time hardware communication and full cloud infrastructure on AWS.
AI-powered document processing pipeline supporting 18+ document types using a 10-stage orchestration architecture, hybrid LLM classification and a self-training loop with LLM-as-Judge evaluation.
Bidirectional AR integration system connecting ServiceChannel (facility management) with FSG (ERP), automating work order data flow end-to-end using Hexagonal Architecture and XState state machines.

Fuel management and fintech platform built as a multi-app monorepo (backend, mobile, admin web, station gateway) with a multi-tenant financial system, real-time hardware communication and full cloud infrastructure on AWS.
AI-powered document processing pipeline supporting 18+ document types using a 10-stage orchestration architecture, hybrid LLM classification and a self-training loop with LLM-as-Judge evaluation.