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Nick McCarthy on Muck Rack

Nick McCarthy

  • Senior Regional External Communications Officer, HM Revenue & Customs
Birmingham
As seen in: Amazon Web Services, Medium, MSN UK, The Daily Mirror, NBC News, Flipboard, Wales on Sunday, Irish Independent, Airdrie & Coatbridge Advertiser, Ayrshire Post and
Crime Correspondent at the Birmingham Mail
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Nick McCarthy’s Biography

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Nick McCarthy joined the Birmingham Mail in 2007 and previously worked at the Sutton Coldfield News. He was born and raised in Birmingham and became the Crime Correspondent in March 2012.

Articles

End-to-end lineage with DVC and Amazon SageMaker AI MLflow apps

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By Paolo Di Francesco, Nick McCarthy, Manuwai Korber
| Amazon Web Services
Artificial Intelligence Production machine learning (ML) teams struggle to trace the full lineage of a model through the data and the code that trained it, the exact dataset version it consumed, and the experiment metrics that justified its deployment.
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Reinforcement fine-tuning on Amazon Bedrock: best practices

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By Nick McCarthy, Sapana Chaudhary, Shreyas Vathul Subramanian
| Amazon Web Services
You can use reinforcement Fine-Tuning (RFT) in Amazon Bedrock to customize Amazon Nova and supported open source models by defining what “good” looks like—no large labeled datasets required. By learning from reward signals rather than static examples, RFT delivers up to 66% accuracy gains over base models at reduced customization cost and complexity.
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Reinforcement fine-tuning on Amazon Bedrock with OpenAI-Compatible APIs: a technical walkthrough

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By Shreyas Vathul Subramanian, Nick McCarthy, Shalendra Chhabra
| Amazon Web Services
Artificial Intelligence In December 2025, we announced the availability of Reinforcement fine-tuning (RFT) on Amazon Bedrock starting with support for Nova models. This was followed by extended support for Open weight models such as OpenAI GPT OSS 20B and Qwen 3 32B in February 2026. RFT in Amazon Bedrock automates the end-to-end customization workflow.
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