Summary
Miles Gray is Head of Machine Learning with nine years of experience building and shipping applied research across computer vision, unsupervised and contrastive learning, domain adaptation, time series forecasting, and generative models. He blends deep research instincts—reading papers daily and experimenting with custom architectures and loss functions—with pragmatic engineering skills in PyTorch/TensorFlow, cloud-deployed pipelines, and web front ends. Miles has delivered production ML systems from hospital visit summarizers using a novel RAG-inspired approach to large-scale data integrity and clustering pipelines for 40M+ image datasets. He emphasizes interpretability and diagnostics, routinely visualizing representations with t-SNE and layer-wise statistics and instrumenting experiments via tools like comet.ml. Comfortable across the stack, he leverages years of web and cloud engineering to operationalize research into robust applications. Based in New Orleans, he pairs a hands-on research practice with a taste for building novel model components that reveal how data distributions actually behave.
9 years of coding experience
9 years of employment as a software developer
Jesuit High School
Computer Science Computer Science, Computer Science Computer Science at Louisiana State University