Summary
Eugenia Guerrero Quintana is a Forward Deployed Engineer with nine years of experience translating business needs into reliable, production-grade systems across startups and scale-ups. Currently at Scale AI, she combines hands-on work in Go, Java, Python, and TypeScript with cloud platforms like GCP and AWS to deliver high-quality labeled data pipelines and human-in-the-loop solutions. She has led teams and technical direction as an engineering manager, built large-scale backup and logging systems handling hundreds of millions of rows, and routinely makes trade-offs between cost, observability, and performance. Comfortable with sync and async architectures (HTTP/gRPC, Kafka) and both relational and NoSQL stores, she pairs pragmatic engineering with clear technical proposals and API design. Multilingual and internationally grounded, she brings research rigor from earlier academic roles to complex distributed systems and disaster-recovery challenges.
9 years of coding experience
7 years of employment as a software developer
MSc Computing Science, Computer Science, MSc Computing Science, Computer Science at Imperial College London
Bachelor of Science (BS), Politics of the International Economy, High 2:1, Bachelor of Science (BS), Politics of the International Economy, High 2:1 at King's College London, U. of London
French baccalaureate (highest honours), Economics and Sociology (ES), Baccalauréat Mention Très Bien, French baccalaureate (highest honours), Economics and Sociology (ES), Baccalauréat Mention Très Bien at Lycée Français Charles de Gaulle de Londres
Lycée Francais de New York (LFNY)
Full-stack web-developer, Software development, Full-stack web-developer, Software development at Makers Academy
Liceo Franco Mexicano
English, Spanish, French, Chinese