McKay Johns
AI Builder & Educator

McKay Johns

Salt Lake City, UT

Say hello
MJ

About

Hi, I'm McKay Johns.

I teach developers and companies how to build real AI applications.

I've been building AI systems since the early days of GPT and have developed a deep understanding of how to integrate large language models and intelligent systems into modern software.

I create practical tutorials, frameworks, and systems that help engineers and teams go from using AI tools to building with them—turning ideas into working, production-ready products.

Throughout my content, you'll find topics like:

  • Building agents and multi-agent systems
  • Designing AI architectures and backends with FastAPI, Supabase, and modern stacks
  • Understanding how products like ChatGPT and Perplexity actually work
  • Creating your own AI-powered applications from scratch
  • Exploring the latest tools, SDKs, and frameworks in AI development

Through my YouTube channel, newsletter, and the upcoming AI Developer System course, I share everything I've learned from building and deploying real-world AI systems.

What I'm currently focused on

  • Teach
    AI Developer System

    Building a flagship course and resource library that walks engineers from prompt tinkering to production-grade systems.

    Preview the curriculum
  • Publish
    Weekly Newsletter

    Breaking down the systems, prompts, and models I ship so teams can replicate them in their own stacks.

    Read the latest issue
  • Share
    YouTube Deep Dives

    Publishing practical walkthroughs that take AI projects from architecture decisions to shipped code.

    Watch the channel
  • Build
    Agentic Workflows

    Prototyping multi-agent patterns that combine reasoning, retrieval, and FastAPI/Supabase backends for production teams.

Work Experience

I've spent the last few years building AI-driven products and data platforms across growth-stage companies.

I focus on shipping systems that blend modern infrastructure, data pipelines, and the latest LLM capabilities so teams can move from prototypes to products fast.

Roles & Highlights

Particl

Data Engineer

2021 – Current
  • Build and scale data collection and processing pipelines
  • Utilize LLMs to categorize products, sentiment, etc.
  • Build and maintain cloud infrastructure

Education

Formal training in data analytics and machine learning gave me a rigorous grounding in statistics, experimentation, and production ML.

I combine that foundation with constant experimentation—shipping and teaching what actually works in modern AI stacks.

Learning Journey

Utah State University

2016 – 2021

Bachelors & Masters Degree in Data Analytics w/ a focus in Machine Learning