FarEdge Labs
JA

Beyond the leading edge

Measure first, then decide

Serverless on AWS and GCP: AI agents, distributed data pipelines and feature engineering, and inference models quantised to fit their hardware budget. What gets built is decided on measured numbers rather than datasheets, so what is not needed does not get built. Delivered as systems that run.

Current engagements

  • Machine learning engineer

    Machine learning and quantisation, plus application development. Feature design and pipeline construction.

  • Tech lead on an online sports simulation game

    Leading the development team across the whole stack, application through infrastructure. Four months in, it has moved to serverless: far stronger under concurrent load, at 60% lower operating cost.

Which clients?

These are client engagements, so the clients are not named — the sector and the role are as far as it goes.

Get in touch through the contact form if you would like to know more.