Summary
Gabriel Muñumel is a Senior Software Engineer with 11 years of experience designing and shipping Python-first, cloud-native systems and microservices, currently focusing on LLM-driven AI tools for critical infrastructure at Idrica. He has led large-scale automation projects—most notably an ecosystem of Python microservices that automated testing for over one million pre-production set-top boxes at Telenet—and has built 20+ APIs to improve integration, delivery, and quality. Comfortable across the full stack, Gabriel combines FastAPI/Flask backends, React frontends, and robust CI/CD on AWS/GCP/Azure with pragmatic Clean/Hexagonal Architecture. He also applies LLMs, RAG pipelines, LangChain/LangGraph, and vector DBs to deliver interpretable AI agents and retrieval systems in production. Founder of stackedge.dev, he shares tooling, tutorials, and frameworks (including a Python developer framework “Nexus” for water modelling pipelines) that demonstrate a practical bias for reusable developer platforms. Based in Eindhoven, he blends deep engineering craft with applied ML/AI for domain-specific, high-reliability systems.
11 years of coding experience
5 years of employment as a software developer
MS in Systems Engineering, Computer Science, MS in Systems Engineering, Computer Science at Universidad Simón Bolívar
Master degree, Master Blockchain and Big Data, Master degree, Master Blockchain and Big Data at Universidad Complutense de Madrid
Bachelor of Science, Mention Data Processing, Bachelor of Science, Mention Data Processing at Colegio San Francisco de Sales
Master Engineering Web, Computer Science, Master Engineering Web, Computer Science at Universidad Politécnica de Madrid
Spanish, ingles - (ielts - academic 6.5)