I’m Halil. I ship complex product logic that still feels simple.

I’m Halil. I build web and mobile products, but that is just the visible layer. The real leverage is the logic underneath. Rules, states, workflows, calculations, dependencies. My goal is to make complex requirements feel easy to use.

Complexity is normal, chaos is not

Real projects rarely come with perfect specs. You get conflicting goals, legacy processes, and systems that no longer match today’s needs. I start by creating structure.

Define states. Define transitions. Clarify responsibilities. Lock down data flows. Then build.

Features that are algorithmic, even when they do not look like it

Many products contain logic that has to be treated like algorithms. Matching, scoring, ranking, routing, prioritization, filtering. And then reality hits. Edge cases, incomplete input, messy data, conflicting updates.

I implement this logic so it stays deterministic and testable. Small, clearly named units. Regression tests for critical rules. Robust error handling. When requirements change, we adjust precisely.

Next.js as architecture, not a template

I use Next.js and React deliberately. Rendering strategies, SEO, performance, caching, data access. I build modular apps with clear boundaries and reusable patterns. That is how large projects stay predictable.

The baseline is consistent. Fast in perception, stable in behavior, maintainable in code.

Web and mobile designed as one system

I do not treat web and mobile as separate worlds. I build them as one system. Shared domain language, shared contracts, shared auth flows. Depending on the context, native iOS is the right choice or a solid cross platform stack with Expo. The key is lifecycle discipline. Versioning, updates, telemetry, crash analysis, monitoring.

Working with Andrei and Bianca

With Andrei, the interface is the deal. A good backend should feel made for the client. Clear contracts, clean states, predictable errors. That is what makes feature delivery fast.

With Bianca, UI becomes a system. Components, variants, states. I implement it as a reusable UI library so features do not have to be reinvented. The product stays consistent as it grows.

AI where it actually helps

We use AI internally to increase throughput. Prototyping, exploring variants, repetitive tasks. If AI becomes part of the product, it needs a clear purpose. Then we build it like any other feature. Testable, observable, controllable.

I enjoy projects where the domain is complex. That is where strong engineering matters most.