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Daniyar Kurmanbayev
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Senior native iOS developer

Dan Kurman

I build reliable native iOS apps and AI-powered mobile features.

Daniyar Kurmanbayev · Toronto, Canada

I turn inherited codebases, AI APIs, payment flows, backend integrations, and product ideas into polished App Store-ready software.

Native iOS delivery

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

AI API integration

Text, image, and assistant features with native UX and reliable app plumbing.

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

Focused support for founders and teams who need senior iOS execution without losing product judgment.

Payments, StoreKit & entitlements

Build and debug IAP, subscriptions, legacy access, Stripe checkout, Apple Pay, and restore flows.

Launch readiness & stabilization

Audit risky flows, fix blockers, add monitoring, and get the app ready for real users.

Legacy app rescue & architecture cleanup

Untangle older projects, reduce fragile logic, remove dead flows, and make future changes safer.

Mobile + backend integration

Connect apps to Firebase, PHP, Django, APIs, notifications, analytics, and release infrastructure.

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.