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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GPU Systems and Performance Engineering Distributed Training Inference and Serving Reliability and Observability Tensor Parallelism Data Quality and Data Systems Deep-Learning Mechanisms Evaluation and Experimentation Multimodal Learning Software Architecture

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PyTorch Kv-Cache Llm-Inference Megatron-LM Tensor Parallelism VLLM Checkpointing Continuous-Batching Coordinate Encoding Distributed Training

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Continuous Batching Needs Admission Control

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