Summary
Guzmán Gómez is an Artificial Intelligence and Backend Engineer with 10 years’ experience building production conversational AI, NLP pipelines, and cloud-native microservices across finance, insurance, and industrial clients. He combines a telecommunications engineering background and an MSc in Data Science to deliver end-to-end chatbot solutions—from NLU engineering (Dialogflow, Azure CLU, Rasa, OpenAI) and vector search (FAISS, AzureSearch) to backend integrations (Node.js, Python FastAPI/Streamlit, Azure App Service). As a technical lead and product owner he has led complex migrations (Dialogflow ES → CX), multi-channel deployments (WhatsApp, Twilio, IVR), and LLM-based RAG systems while keeping data privacy and BI-driven outcomes central. Comfortable in both consultancy and in-house roles, he bridges research-grade ML (GANs, anomaly detection, synthetic tabular data) with pragmatic SaaS delivery and devops. Colleagues describe him as hardworking, collaborative and empathetic, and he brings discipline from a sports-oriented lifestyle into engineering teams.
10 years of coding experience
3 years of employment as a software developer
UOC (Universitat Oberta de Catalunya)
BSc Degree in Telecommunications Engineering (Grado en Ingeniería de Servicios y Tecnologías de Telecomunicación), BSc Degree in Telecommunications Engineering (Grado en Ingeniería de Servicios y Tecnologías de Telecomunicación) at Universidad Politécnica de Madrid
inglés (c1), Spanish, francés (a1)