Synaptic Radio

Principal ML engineer focused on foundation models, agentic systems and scientific AI. I write about the math, systems and engineering judgement behind reliable ML workflows.

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Distributed Training Evaluation and Experimentation Multimodal Learning Reliability and Observability Software Architecture Tokenization and Representation

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Checkpointing Coordinate Encoding Evaluation Fault-Tolerance Multimodal Models Pytorch Reproducibility Spatial Reasoning Training-Systems

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Reliability and Observability

A Restart Is Not a Resume: Testing PyTorch Checkpoints

Featured image of post A Restart Is Not a Resume: Testing PyTorch Checkpoints

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