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Alin Postolache — AI + Mobile Product Engineering
AI systems & workflows / KMP / Compose Multiplatform / Android / iOS
Founder-led AI + mobile engineering

Build useful AI systems into your product — without slowing down delivery.

I help product teams design and ship AI features, workflows, copilots, and internal tools — while also bringing the mobile and cross-platform depth needed when those systems have to live inside Android and iOS products.

I’m Alin Postolache, a senior engineer with 10+ years building production products across Android, cross-platform systems, and AI-driven experiences.

I help teams turn AI into something operational: clearer workflows, less friction, better execution, and mobile delivery that does not collapse into a rewrite.

Book a 30-minute fit call See offers
//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
ai workflows / copilots / android / ios / kmp
$ philosophy
use ai where it creates leverage. keep systems practical and close to the workflow.
$ next_step
30-minute fit call → clear next step → ship
Current mode
Building mobile systems that feel native and move like a smaller team should.
10+
Years in mobile engineering
AI + delivery
Systems that help teams move faster
KMP + iOS
Cross-platform depth with native quality where needed
Offers

Get the right AI and product-system work shipped — without creating a bigger mess underneath.

Whether you need one sharp AI workflow, a better internal system, or stronger Android and iOS execution around the product, the goal is the same: move faster now without paying for bad technical decisions later.

AI Workflow Kickstart
1–2 weeks • best for one clear bottleneck
€3k–€6k
  • Useful when your team knows something is blocked, but not which technical path actually makes sense.
  • I review the current workflow, product goal, and where execution is slowing down — whether that lives in the team, the tooling, or the Android and iOS surface.
  • You leave with one clear recommendation, a realistic implementation path, and a smaller surface area to get wrong.
Fractional AI + Product Systems Lead
Monthly • best for teams that need senior hands-on help
€6k–€12k/mo
  • Useful when the roadmap is moving, the team is busy, and nobody has enough senior bandwidth to make the hard calls and still ship.
  • I work hands-on across architecture, implementation, product tradeoffs, and AI tooling so the team can move faster without building disconnected systems.
  • Strong fit for AI features, operator workflows, cross-platform direction, or teams that need sharper execution without adding a full extra hire.
Platform or Workflow Migration Sprint
Project-based • best for teams paying the cost of duplicated work
€8k–€20k
  • Useful when the team is solving the same problem twice — across Android and iOS, or across manual workflows that should already be systemized.
  • I help define what should actually be shared, what should stay native, and how to test that path before the team commits too much.
  • The goal is not to chase AI or cross-platform for its own sake. It is to remove waste without hurting product quality or team speed.
Approach

Strong systems beat scattered tools.

Most teams either add AI in a way that never becomes part of the real workflow, or they overbuild the system before proving value. The better path is narrower: identify the friction, design the right loop, and only then decide what should be automated, shared, or kept native.

Kotlin Multiplatform architecture
Compose Multiplatform UI strategy
Android + iOS delivery acceleration
AI workflows inside real products
Copilots, chat, search, summaries, assistants
Shared vs native boundary decisions
Feature prototyping and migration planning
Operator-minded technical guidance
Selected work

Proof, not promises.

A mix of large-scale product engineering, founder-built products, AI workflow thinking, and systems built close to the real work.

Consumer mobile at scale

Freshful by eMAG

Worked on a large consumer grocery app where shipping quality mattered, release pressure was real, and product decisions had to hold up across a live mobile experience used at scale.

Health-focused product engineering

Zero Longevity

Worked on a health-focused product where mobile UX, product clarity, and delivery discipline all had to stay aligned. The work was not just technical — it had to feel reliable and usable.

Confidential AI product work

AI assistant for e-grocery

Built assistant-style shopping flows for an e-grocery product to help users make decisions faster inside the app. The challenge was making the AI useful in context, not just adding chat for the sake of it.

Founder-built AI product

Heal

Built an AI-powered breakup support app end-to-end, from product idea and onboarding to the AI experience itself. Useful proof that I think beyond integration and care about whether the product actually helps.

AI builders media product

DailyClaw.dev

Built a publication and systems layer around AI builders, agent workflows, and operator patterns. Useful proof that I do not just use AI tools — I study, build around, and communicate the systems behind them.

Habit and daily-use product work

TWO

Worked on a product built around habits, reflection, and repeat usage. That kind of work sharpens judgment around retention, user friction, and what people will actually return to after the first week.

Private AI product explorations

Private AI product explorations

Worked on AI-driven chat, guidance, recommendation, and workflow concepts across mobile products. The common thread was always the same: reduce friction, help users make progress, and keep the interaction grounded in the product.

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?

No pitch. Just a real conversation about your product, bottleneck, or migration path.
Email me and let's schedule a 30-minute fit call Find me on X