Eduardo Calleja
Sr. Manager, Drug Discovery AI at NVIDIA
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolEduardo Calleja is a Sr. Manager in Drug Discovery AI based in San Francisco, combining a PhD in Physics with five years of industry software and machine learning leadership. He transitioned from academic research into engineering roles at AWS, where he progressed from software engineer to senior manager building AI devices and services, and now leads drug discovery AI efforts at NVIDIA. Eduardo blends deep quantitative modeling, simulation, and research experience with hands-on software development to deliver production-ready ML systems. He is comfortable bridging lab-grade scientific rigor with cloud-scale engineering and team leadership. A physicist-turned-developer, he brings an uncommon fluency in physical modeling that informs better ML architectures for scientific problems.
5 years of coding experience
22 years of employment as a software developer
Ph.D Physics, Ph.D Physics at University of Colorado BoulderHigh School Diploma ocean and atmospheric sciences, High School Diploma ocean and atmospheric sciences at MAST AcademyBachelor of Science Physics, Bachelor of Science Physics at University of Florida
Spanish
Github Skills (5)
machine-learning9
genomics9
pytorch9
deep-learning8
aws7
Programming languages (3)
Github contributions (3)
aws-solutions-library-samples/guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker
Dec 2020 - Nov 2021
DeepRacer workshop content. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly train and evaluate AWS DeepRacer models with full control
Contributions:16 commits, 6 PRs, 14 pushes in 11 months
pytorchworkshopdeep-learningmachine-learningdeepracer
awslabs/aws-healthomics-tools
Nov 2022 - Dec 2022
Contributions:1 review, 3 commits, 1 PR in 19 days
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