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 GPU Systems and Performance Engineering Deep-Learning Mechanisms Evaluation and Experimentation Inference and Serving Multimodal Learning Reliability and Observability Software Architecture Tokenization and Representation Transformer Architecture

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PyTorch Megatron-LM Tensor Parallelism Checkpointing Coordinate Encoding Distributed Training Evaluation Fault-Tolerance Grouped-Query Attention Multimodal Models

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Inference and Serving

Tensor-Parallel GQA Attention, One Head Group at a Time

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