Node.js lead for Red Hat and IBM
Michael Dawson
Michael Dawson is an active contributor to the Node.js project and chair of the Node.js Technical Steering Committee(TSC). He contributes to a broad range of community efforts including platform support, build infrastructure, N-API, Release, as well as tools to help the community achieve quality with speed (ex: ci jobs, benchmarking and code coverage reporting). As the Node.js lead for Red Hat and IBM , he works with Red Hat's and IBM's internal teams to plan and facilitate their contributions to Node.js and v8 within the Node and Google communities.Past experience includes building IBM's Java runtime, building and operating client facing e-commerce applications, building PKI and symmetric based crypto solutions as well as a number of varied consulting engagements. In his spare time, he uses Node.js to automate his home and life for fun.
Michael Dawson's contributions
The journey to enable UBI with the Paketo Buildpacks ecosystem
With the growth in the use of containers, the need to bundle your application
Retrieval-augmented generation with Node.js, Podman AI Lab & React
Podman AI Lab, which integrates with Podman Desktop, provides everything you need to start developing Node.js applications that leverage large language models.
Meet the Red Hat Node.js team at Confoo 2025
Confoo 2025 is this week. It's held in Montreal Canada every year and features a
A quick look at MCP with Large Language Models and Node.js
Model Context Protocol (MCP) is a protocol that allows intergratrion between
A quick start with Large Language Models and Node.js using Podman AI lab
Integrating large language models into applications is an important skill for
The nine Node.js pillars and the Node.js reference architecture
The "Nine Node Pillars" blog post that was recently published shares a common
NodeConf EU 2024 Wrap up - Thoughts from the Red Hat Team
Red Hat was recently at NodeConf EU, which was held on November 4-6th 2024. This
Building agents with Large Language Models(LLMs) and Node.js
Artificial intelligence (AI) and large language models (LLMs) are becoming
