A
Alin Postolache - Mobile + AI Engineering
KMP / Compose Multiplatform / Android / iOS / AI Automations & Workflows
Founder-led mobile AI engineering

Ship AI features in mobile products without doubling your team.

I help startups and product teams build practical AI-powered mobile experiences using Kotlin Multiplatform, Compose Multiplatform, Android, and iOS — without forcing a rewrite or sacrificing native quality where it matters.

//You want AI in the product, but the roadmap is mostly vague ideas and demo bait.
//Android and iOS are moving in parallel, but not really together.
//Your team needs to ship faster without committing to a messy rewrite.
//You need a senior engineer who can make product calls, not just code tickets.
terminal://mobile-ai-operator
$ whoami
senior_mobile_engineer + ai_product_builder
$ focus
android / ios / kmp / compose / practical ai
$ philosophy
share code where it creates leverage. stay native where quality matters.
$ ideal_clients
startups, product teams, mobile-heavy saas, teams adding ai
$ anti-patterns
architecture theater, fake ai, duplicate platform work
$ next_step
book a fit call → scope one sharp wedge → ship
Current mode
Building mobile systems that feel native and move like a smaller team should.
10+
Years in mobile engineering
Android + iOS
Cross-platform without fake shortcuts
AI + product
Built for features people actually use
Offers

Start narrow. Ship fast. Expand only when the product earns it.

The model is simple: begin with a clear technical wedge, validate real product value, then scale the implementation without accumulating platform debt.

Mobile AI Kickstart
1–2 weeks
€3k–€6k
  • Audit your current mobile stack and delivery bottlenecks
  • Identify the highest-leverage AI feature worth shipping first
  • Define KMP / Compose Multiplatform fit vs native escape hatches
  • Deliver a concrete implementation plan or a thin vertical slice
Platform Migration Sprint
Project-based
€8k–€20k
  • Shared domain and data layer strategy for Android + iOS
  • Proof-of-concept module to validate migration risk early
  • Pragmatic plan for what to share and what to keep native
  • Built for teams already feeling the cost of duplicated effort
Approach

A strong point of view beats a generic service menu.

Most teams either bolt on a fake AI feature nobody retains, or overbuild mobile architecture before proving value. The better path is narrower: choose the right workflow, share code where it creates leverage, and keep native control where quality matters.

Kotlin Multiplatform architecture
Compose Multiplatform UI strategy
Android + iOS delivery acceleration
AI features in mobile products
Voice, chat, search, summaries, copilots
Shared vs native boundary decisions
Feature prototyping and migration planning
Senior technical guidance for product teams
Good fit
  • You already have a product, users, or a serious internal roadmap.
  • Mobile matters strategically, not as a side project.
  • You need execution and judgment, not a six-month discovery phase.
  • You are open to pragmatic technical tradeoffs.
Not a fit
  • You want the cheapest implementation possible.
  • You want AI for optics, not because it improves the product.
  • You need a large agency to throw bodies at vague scope.
  • You want slide decks instead of shipped work.
How I work
No architecture theater. No AI-for-PR fluff. Just shipped product.
The point is not to make your stack sound futuristic. The point is to reduce wasted effort, move faster across Android and iOS, and ship AI features that earn their place in the product.
$ identify_real_user_problem
$ choose_narrow_ai_workflow
$ define_shared_vs_native_boundary
$ ship_vertical_slice
$ expand_only_if_usage_is_real

status: focused, pragmatic, production-minded
Contact

Need someone who can think in product, architecture, and implementation?

If your team needs to move faster across Android and iOS, or you need help turning AI ideas into a real mobile product surface, this is the kind of work I do.