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
Article
How to implement observability with Python and Llama Stack
Enhance your Python AI applications with distributed tracing. Discover how to use Jaeger and OpenTelemetry for insights into Llama Stack interactions.
Article
Implement AI safeguards with Python and Llama Stack
Learn how to implement Llama Stack's built-in guardrails with Python, helping to improve the safety and performance of your LLM applications.
Article
Retrieval-augmented generation with Llama Stack and Python
This tutorial shows you how to use the Llama Stack API to implement retrieval-augmented generation for an AI application built with Python.
Article
Exploring Llama Stack with Python: Tool calling and agents
Harness Llama Stack with Python for LLM development. Explore tool calling, agents, and Model Context Protocol (MCP) for versatile integrations.
Article
How to implement observability with Node.js and Llama Stack
Enhance your Node.js AI applications with distributed tracing. Discover how to use Jaeger and OpenTelemetry for insights into Llama Stack interactions.
Article
Implement AI safeguards with Node.js and Llama Stack
Explore how to utilize guardrails for safety mechanisms in large language models (LLMs) with Node.js and Llama Stack, focusing on LlamaGuard and PromptGuard.
Blog
PowerUp 2025 Wrap up - Thoughts from the Red Hat Team
Members from the Red Hat Node.js team were recently at PowerUp 2025. It was held
Blog
Meet the Red Hat Node.js team at PowerUP 2025
PowerUP 2025 is the week of May 19th. It's held in Anaheim, California this year
How to implement observability with Python and Llama Stack
Enhance your Python AI applications with distributed tracing. Discover how to use Jaeger and OpenTelemetry for insights into Llama Stack interactions.
Implement AI safeguards with Python and Llama Stack
Learn how to implement Llama Stack's built-in guardrails with Python, helping to improve the safety and performance of your LLM applications.
Retrieval-augmented generation with Llama Stack and Python
This tutorial shows you how to use the Llama Stack API to implement retrieval-augmented generation for an AI application built with Python.
Exploring Llama Stack with Python: Tool calling and agents
Harness Llama Stack with Python for LLM development. Explore tool calling, agents, and Model Context Protocol (MCP) for versatile integrations.
How to implement observability with Node.js and Llama Stack
Enhance your Node.js AI applications with distributed tracing. Discover how to use Jaeger and OpenTelemetry for insights into Llama Stack interactions.
Implement AI safeguards with Node.js and Llama Stack
Explore how to utilize guardrails for safety mechanisms in large language models (LLMs) with Node.js and Llama Stack, focusing on LlamaGuard and PromptGuard.
PowerUp 2025 Wrap up - Thoughts from the Red Hat Team
Members from the Red Hat Node.js team were recently at PowerUp 2025. It was held
Meet the Red Hat Node.js team at PowerUP 2025
PowerUP 2025 is the week of May 19th. It's held in Anaheim, California this year
