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Daniyar Kurmanbayev
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Senior Mobile App Developer · Native iOS Specialist

Dan Kurman

I build, rescue, and launch production mobile apps.

Daniyar Kurmanbayev · Toronto, Canada

Native iOS and Swift are my deepest expertise. I take care of the product around the app too: backend APIs, payments, AI features, production stability, releases, and ongoing development.

Native iOS delivery

SwiftUI/UIKit apps shaped from design, APIs, and product requirements.

Mobile product ownership

App flows, backend APIs, and ongoing development connected end to end.

Payments & monetization

StoreKit 2, credits, paywalls, Stripe, Apple Pay, and checkout recovery.

Launch stabilization

Inherited apps, crash fixes, release blockers, and App Review-ready cleanup.

How I can help

Build, rescue, launch, and maintain your mobile product, with deep native iOS expertise and ownership beyond the app.

App rescue & modernization

Stabilize inherited apps, fix crashes and broken flows, modernize legacy code, and remove the blockers between your product and launch.

Payments & monetization

Build and repair StoreKit purchases, subscriptions, entitlements, and credits, plus Stripe, Apple Pay, and checkout recovery.

AI feature integration

Turn AI APIs into useful mobile features with native UX, backend integration, saved results, usage limits, payments, and clear failure handling.

Selected client outcomes

Recent work chosen for the kinds of client problems it proves: launch risk, AI API integration, payments, entitlement logic, mobile/backend delivery, and App Store readiness.

More selected work

A compact archive of older production builds, platform work, libraries, and experiments.

Flagship Engineering

Deeper iOS systems, SDK work, and product-engineering builds.

iOS Apps & Product Builds

Production apps shipped across commerce, productivity, creator tools, and wellness.

Platforms & Backend

Mobile-connected backend systems, marketplaces, and automation tools.

Legacy & Libraries

Older app work and reusable libraries that show breadth over time.

AI & ML Experiments

Computer vision and NLP experiments from applied ML coursework and prototypes.