Summary
Gabriel Ziegler is a Senior AI Engineer with a decade of engineering experience and a double Master’s in Data Science, focused on building production-grade GenAI, RAG, and agentic workflows for Fintech and SaaS. He combines deep ML research roots—publishing NLP work and delivering the VICTOR system for Brazil’s judiciary—with hands-on product engineering across backend, infra, and frontend, having improved speech models and deployed large-scale pipelines at Itaú and Datia. Comfortable operating asynchronously on fractional or contract engagements, he delivers repos, docs, and compliant LLM integrations for sensitive domains without leaking data. A high-autonomy builder with YC experience (Trebu) and a Facebook F8 Hackathon finalist, he’s as fluent in FastAPI, LangChain and vector DBs as he is in AWS and Docker. Based in Santa Catarina, Brazil, Gabriel often bridges research-level accuracy with pragmatic production constraints to make agentic systems actually work in messy real-world environments.
9 years of coding experience
7 years of employment as a software developer
Summer School, Methods and Tools for Resilient Industrial IoT, Summer School, Methods and Tools for Resilient Industrial IoT at Technical University of Munich
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Aalto University
Master's degree, Data Science & Artificial Intelligence, Master's degree, Data Science & Artificial Intelligence at Eindhoven University of Technology
High school diploma, High school diploma at Rangitoto College
Bachelor of Engineering - BE, Software Engineering, Bachelor of Engineering - BE, Software Engineering at Universidade de Brasília
Master's degree, Double Master's Degree in Data Science, Master's degree, Double Master's Degree in Data Science at EIT Digital Alumni
English, Spanish, Portuguese, German