Summary
Guillermo Grande is a Senior Software Engineer at Google with eight years of experience building ML infrastructure and scalable inference systems across cloud and robotics domains. He has led projects to improve LLM distributed training resilience and optimized high-throughput ML inference engines using PyTorch, TensorFlow, Python, Java and C++, balancing research-grade experimentation with production reliability. His background spans Microsoft, Expedia, Everyday Robots and Twitter, where he shipped NAS solutions, migrated training pipelines to modern schedulers, and enabled new inference graph capabilities for transformer and MoE architectures. A Georgia Tech alumnus with a master’s in machine learning, he pairs strong systems engineering chops with hands-on model work and tooling that speeds researcher-to-production workflows. Fluent in Spanish, English and French and experienced in corporate partnership building from his SHPE leadership, he brings cross-cultural collaboration and mentorship to technical teams. Notably, he’s repeatedly improved infrastructure resilience and developer productivity—moving projects from research prototypes to robust, cloud-native services.
8 years of coding experience
8 years of employment as a software developer
High School General Studies, High School General Studies at Asociación Escuelas Lincoln
Master's degree Machine Learning, Master's degree Machine Learning at Georgia Institute of Technology
English, Spanish, French