AI engineer building agents, AI products, and the software around them.
Open to AI engineering and full-stack rolesChiang Mai · --:-- GMT+7
Today
I take products from idea to production: from the first prototype to the deploy that customers use. Right now I’m building AI products for client work, and on the side experimenting with agents, developer tools, and small software businesses of my own. Tools change; shipping does not.
What I do
AI products
Built end to end and shipped.
Agent systems
Retrieval, tools, and evals that keep agents honest.
Full-stack engineering
The interface, API, and data around the model.
Cloud & infrastructure
Terraform, containers, AWS and Azure.
Writing
AI is an amplifier, not an equalizer
Every company has the same coding agents. The output is not the same. AI multiplies what you already bring, and it multiplies the gap with it.
The brain gets better at what you actually do
Neuroplasticity is real, but it is narrow and it fades. What that means for how I learn new tools, and for what I let an agent do for me.
Your agent should never see the key
Credentials belong outside the sandbox. I compare five agent runtimes and the gap between containment and delegated authority.
All posts →Elsewhere
Code on GitHub, thoughts on X, and the longer story on LinkedIn. Projects and work history are on my CV. For work, write to hello@briansithu.com.