Platform and AI engineering
Regan Lawton
I design and build scalable platforms, AI systems, and data-driven products. This page is a flight path. Scroll, and the sky moves with you.
Flight plan
01 Projects Production systems, AI platforms, data products, and open-source tools. 02 Blog Notes on engineering, architecture, platforms, and the edges of useful AI. 03 About Me The background, stack, and operating principles behind the work. 04 Contact Find me on GitHub or start a conversation through the places I keep active.01 First stop
Projects
Platform architecture, AI systems, and data pipelines built for real production constraints. The decisions that determine whether a product scales gracefully or struggles under its own weight.
View projectsInternal Budgeting Intelligence Tool
A budgeting and cashflow intelligence app that imports bank exports, cleans messy transaction data, uses pandas and LLM-assisted matching, and tracks categories, sources, recurring patterns, and internal transfers.
Internal Trading Intelligence Tool
An insider-style market intelligence app that combines scheduled market data, shareholder and insider tracking, adjacent-company discovery, LLM summaries, and daily audio digests.
oembed
A Craft CMS plugin that turns any pasted URL into a rich embed. Maintained since 2015 with 7K+ active downloads.
AI Tools Are Not Magic Bullets
What Scalability Actually Means in the Age of AI
Why Search Is Such a Hard Thing to Talk About
02 Second stop
Blog
Notes from the build: architecture decisions, data-heavy systems, implementation tradeoffs, and useful patterns for AI applications that need to be more than demos.
Read the log03 Third stop
About Me
I work with companies on platform architecture, AI integrations, and data systems. My focus is the architecture layer: turning ambitious ideas into engineering that holds up in production.
Open profile- AI and LLM systems
- Platform architecture
- Data platforms and pipelines
- Workflow automation
- Python, Go, TypeScript
- FastAPI, React, Next.js
- Postgres, ClickHouse, Elasticsearch
- Docker, Kubernetes, AWS