Hugo Lopes is a Senior Software Engineer based in Zurich with 11 years of experience building production-grade AI and data systems, currently adding long-term multimodal memory to Google DeepMind’s Gemini to enable truly personal AI. He has deep expertise across LLMs, RLHF, synthetic data, RAG and ML model monitoring from his work on Bard/Gemini and prior Payments/Transaction Intelligence projects at Google. Previously Head of R&D at a Lisbon fintech, he led applied AI for credit risk, feature automation and model explainability while also teaching data science. His early career in aerospace R&D produced real-time GNSS navigation algorithms for ESA projects, giving him rare cross-domain strengths in signal processing and precise orbit determination. Hugo blends research rigor with hands-on engineering—spanning Java/Quarkus backends and React/Next front-ends—and enjoys turning vague, complex problems into concrete, solvable systems.
11 years of coding experience
13 years of employment as a software developer
MSc Aerospace Aeronautical and Astronautical/Space Engineering, MSc Aerospace Aeronautical and Astronautical/Space Engineering at Delft University of Technology
MSc Aerospace Aeronautical and Astronautical Engineering, MSc Aerospace Aeronautical and Astronautical Engineering at Instituto Superior Técnico
Contributions:25 commits, 60 pushes, 1 branch in 5 months
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Hugo Lopes - Senior Software Engineer at Google DeepMind