Summary
Julio Delgado is a tech lead and applied research scientist with 12 years of experience building AI-native organizations and production-grade machine learning systems across Amazon and Meta. He has led cross-functional teams of 15+ engineers and scientists to take audio/visual facial expression tracking from data collection and annotation through model training, quantization, on-device export and telemetry. At AWS he contributed as a Principal Engineer to federated learning, SMPC, large-scale transformer training (DeepSpeed/Megatron) and productionized ML features for Aurora/Athena and SageMaker, blending high-performance C++ systems work with cutting-edge deep learning. Julio combines deep systems expertise (CUDA, MPI, distributed compute) with practical ML tooling and productization, making him equally fluent in research prototypes and ship-ready infrastructure. Based in Seattle with origins in Switzerland and Spain, he brings a rare cross-domain background spanning scientific visualization, industrial control, and cloud-scale monitoring that informs pragmatic, safety-conscious AI deployment.
12 years of coding experience
20 years of employment as a software developer
Chemical engineering Biotechnology chemistry industrial processes, Chemical engineering Biotechnology chemistry industrial processes at Universidad de Salamanca
Ingeniero Informatico (Bachelor + Msc Computer Science) Computer Science Software Engineering Computer Architecture Robotics, Ingeniero Informatico (Bachelor + Msc Computer Science) Computer Science Software Engineering Computer Architecture Robotics at Universidad de Las Palmas de Gran Canaria
English, Spanish, French