Victor Calderon is an astrophysicist-turned-machine learning engineer with a decade of experience building and deploying ML systems across computer vision, MLOps, and generative AI. After a PhD in computational astrophysics—where he built pipelines to analyze >200GB of simulation and observational data and boosted mass-prediction accuracy by orders of magnitude—he moved into industry delivering production segmentation, detection, and 6D point-cloud models for telecoms. Now at Intuit, he applies LLMs and Generative AI to customer-facing products while bringing rigorous research practices and scalable training/validation pipelines from his prior roles. He combines deep scientific modeling experience with practical MLOps execution, including CI/CD, versioning, and automated training, making him adept at taking models from prototype to production. Based in Mountain View, he’s equally comfortable exploring cosmological simulations and iterating on large-scale ML systems.
10 years of coding experience
13 years of employment as a software developer
Bachelor of Science (B.Sc.) Astrophysics Physics Mathematics, Bachelor of Science (B.Sc.) Astrophysics Physics Mathematics at Florida Institute of Technology
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at Vanderbilt University
Tutorials and notebooks dedicated towards teaching about Data Science and Machine Learning
Contributions:42 commits, 4 PRs, 32 pushes in 2 days
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