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 Inference and Serving GPU Systems and Performance Engineering Software Architecture Tensor Parallelism Deep-Learning Mechanisms Evaluation and Experimentation Post-Training and Alignment Research Methodology Transformer Architecture

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Distributed Systems Megatron-LM PyTorch Tensor Parallelism Actors Book-Review Calibration Circe Confidence Disaggregation

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Post-Training and Alignment

Model Calibration in Large Language Models

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