David Malson — AI & Cloud Engineering Consultant

I design, build, and operate production software from first commit to the server it runs on.

One accountable engineer across the whole stack — machine learning systems, native apps and web products, and the cloud infrastructure underneath them. No handoffs, no agency layer.

Products live

Service pillars

Engineer, start to finish

100%

Self-operated fleet

// what-i-do

Three disciplines, one engineer.

Most engagements need all three eventually — a model, a product surface, and somewhere durable for both to run. I cover the full path.

01 / ML

AI & machine-learning systems

ML pipelines, model serving, and AI features engineered to survive contact with real, messy data — not just a notebook demo.

Proof: PhotoFinish Edge runs ML models for horse-racing analytics. AutoCensor finds and silences profanity in audio automatically.

02 / PRODUCT

Product engineering

Native iPhone and Mac apps, plus full-stack web products — designed, built, and shipped end to end, including App Store delivery.

Proof: Simple Gym and Card Pager on iOS, Simple Meeting Recorder on macOS, CalSync on the web.

03 / CLOUD

Cloud platform & operations

Docker, nginx, Postgres, Redis, and Cloudflare — architected, secured, and operated. He runs his own production fleet, day to day.

Proof: every product on this page, including MindAmend's HLS streaming and the Solar API, runs on infrastructure he operates himself. So does this page.

Have a project in mind?

Send a note about what you're building — AI systems, product work, or the infrastructure underneath. It lands on my phone.

Three disciplines, one engineer.

AI & machine-learning systems

Product engineering

Cloud platform & operations

Sixteen live products. Zero staged demos.

Have a project in mind?