About Gagan Deep Singh
Gagan Deep Singh is an ai consultant & agentic engineer in Brantford, Ontario, running Buildwithgagan as a one-person studio after fourteen years leading engineering teams. Background, stack, working principles, and what he will not build.
Background
I spent fourteen years scaling engineering teams before I noticed most of the interesting engineering was happening just outside the product — in the seams between tools, inboxes, and spreadsheets where work actually got done.
Buildwithgagan is a deliberately small studio. One person, end-to-end, every engagement. No account managers, no junior handoffs, no "creative director" layer between you and the work. The person on the first call is the person writing the code and the person answering Slack at 11pm when something needs a patch.
The studio is currently full, so new work joins a waitlist rather than a start date. That has always been the shape of it — I turn down more than I take, usually because the problem is better solved by a process change than by software, or because a bigger shop is genuinely a better fit. I'll tell you which one you are on the first call, waitlist or not.
This is an AI shop and nothing else. Not a general agency with an AI page — the whole practice is agent orchestration, the loops underneath them, retrieval and memory, MCP tool surfaces, and the evals that decide whether any of it is allowed to ship. Narrowing that far means the second time I see your problem is usually the fifth or sixth time I have seen it.
The facts
| BASED | Brantford & Paris, Ontario · working globally |
|---|---|
| STACK | TypeScript · Python · Postgres · the usual AI suspects |
| ALSO SHIP | MCP servers, eval harnesses, agent infrastructure |
| BEFORE THIS | 14 years leading engineering teams |
| FAVOURITE TOOL | A well-named webhook |
| WILL NOT BUILD | Cold-outbound spam, deepfake anything |
Track record
- 40+ — Systems shipped
- 11k — Hours saved · client side
- $2.4M — Labor value automated
- 500+ — Products shipped · career total
Elsewhere
- X (@buildwithgagan) — Build notes, half-finished ideas, and the occasional automation that went sideways.
- LinkedIn (/in/buildwithgagan) — Longer posts on shipping AI systems inside real companies. Where most engagements start.
- Medium (@buildwithgagan.com) — Essays and teardowns — the full write-up when a thread is not enough room.
- GitHub (/buildwithgagan) — Open-sourced pieces of the toolkit — harnesses, adapters, and scripts worth stealing.
Next: the services in full, local engagements in Brantford, the essays, or a free 30-minute audit.