XReporter operations platform
Updated April 11, 2026. Multi-user operations product covering staff visibility, client workflows, and reporting in a single web application.
View cited pageFull-Stack & AI Engineer
Montreal SaaS teams I work with usually care about long-term product quality, not just shipping an MVP quickly. That makes it a good market for deliberate architecture work around tenants, permissions, analytics, and maintainable frontend and backend systems.
Montreal has one of Canada's deepest AI and product talent pools, plus a business environment where bilingual content, Law 25 privacy requirements, and international hiring patterns show up early in project scope. It is a strong market for teams that want high technical standards and clean delivery.
Updated April 11, 2026. Multi-user operations product covering staff visibility, client workflows, and reporting in a single web application.
View cited pageUpdated April 11, 2026. Structured event management, registration flows, and an admin surface for an organization that needs dependable day-to-day operations.
View cited pagePublished April 9, 2026. Explains how architecture, backend systems, and delivery discipline matter once an AI-assisted product moves beyond demo stage.
View cited pagePin the non-obvious decisions early: data model, tenancy, auth, background work, billing shape. Cheap to change on a whiteboard, expensive after launch.
Database schema, migrations, auth, and role-based access land before feature work. These are the parts that are hardest to retrofit later.
Tight feedback loop on features with a staging environment and typed contracts end-to-end. Ship small, review often, keep the trunk green.
Stripe billing, customer portal, dunning, and support tooling. Observability hooked up so production issues are visible, not silent.
Runbooks, monitoring dashboards, and documentation so your team or the next engineer can own the product without guessing.
Yes. I take on saas engineering engagements with clients in Montreal and across the Greater Montreal. Most work runs remote-first with in-person touchpoints where useful, and I'm used to the Quebec business environment.
Montreal work in this service area usually comes from ai and research-heavy startups, saas, media and creative tech teams that need a senior partner to scope the work clearly and ship it without adding process overhead.
The work is scoped around Montreal, but delivery usually extends across the wider Greater Montreal and remote-first teams that need the same service.
Depends on the shape of the product. For most SaaS I start on Next.js route handlers with a typed API layer; when the backend grows heavier — queues, workers, long-running jobs — NestJS joins the stack. I will recommend whichever keeps the product operable.
PostgreSQL by default. It is boring, battle-tested, and handles every SaaS shape from early to scale. Specialised stores only where there is a real reason.
What modern website development should include when your business needs speed, SEO, lead generation, and clean user experience.
How Milan helps companies plan, validate, and ship custom AI products, automation systems, and production-ready workflows.
Where AI assistants create real business value, how custom assistant systems are built, and when OpenClaw setup makes sense.