I’m Halil. I build web applications and mobile apps for processes where business logic has to be represented cleanly. Rules, states, calculations, dependencies, and permission behavior belong in the technical structure early. That is what makes a product feel calm in daily use.

Structure before implementation

Real projects bring requirements from different areas. Business teams, operations, data protection, sales, and management each have legitimate objectives. I start with a dependable model for states, transitions, roles, data flows, and error cases.

This structure makes decisions reviewable. Which action may a role trigger. Which data is written. Which response does the user receive. Which cases move into manual clarification. Implementation can then be led with precision.

Product logic with testable behavior

Many product functions contain algorithmic decisions. Matching, scoring, ranking, routing, prioritisation, and filtering have to remain deterministic, especially with incomplete input or conflicting updates.

I implement this logic in clearly named units. Critical rules receive regression tests, error cases get defined responses, and changes remain limited to the affected area. That reduces risk during later extensions.

Next.js as application architecture

I use Next.js and React as architectural tools. Rendering strategies, data access, caching, performance, and SEO are decided along the concrete product. The application remains modular, with clear boundaries between UI, domain logic, and server-side processing.

Users need fast and stable behavior. The client also needs code that can be extended in a traceable way, with releases that remain controlled.

Web and mobile on the same business foundation

Web and mobile are connected through the same domain language, data contracts, and authentication flows. Depending on the context, I use native iOS development or a cross-platform stack with Expo. Release planning, versioning, telemetry, crash analysis, and monitoring are settled before an app is rolled into production.

Working with Andrei and Bianca

With Andrei, I work on interfaces that the client can consume reliably. Data contracts, authentication, error models, and performance boundaries are decisive. Strong API work makes frontend delivery more predictable.

With Bianca, UI becomes an executable system of components, variants, and states. I translate those specifications into a UI library so new functionality can build on established rules. The product remains consistent as the scope grows.

AI as product capability

We use AI internally for prototyping and recurring work. When AI becomes part of a product, it needs a precise business task, defined inputs, traceable outputs, and technical boundaries. I build these capabilities so they are testable, observable, and supported by clear user guidance.

I like projects where business complexity has to be taken seriously. That is where engineering either carries the product decision or exposes the weak point.