Hi, I'm
I create elegant solutions with modern technologies. Specializing in .NET, Python, Machine Learning, and creating innovative applications.
Passionate about creating impactful software solutions
Full Stack Developer
I'm a Full Stack Developer with expertise in building robust APIs, machine learning models, desktop applications, and games. I love tackling complex problems and turning ideas into reality.
A curated selection of work that best reflects my technical depth, product thinking, and real-world delivery for hiring conversations.
The projects that most clearly represent my strongest engineering and product-building work.
A multi-application enterprise platform that combines a .NET 9 API, Next.js admin panel, WPF desktop app, Windows update agent, and MSI installer into a single operational delivery model.
A large-scale restaurant operations backend with real-time SignalR updates, JWT auth, RBAC, order and inventory workflows, health checks, and structured activity logging.
A production-oriented invoice verification desktop application with barcode-driven workflows, approval gates, reporting, PDF export, licensing, dependency injection, and automated tests.
An enterprise integration app that converts ClosedWon opportunities into Mikro orders, performs customer matching and creation, synchronizes inventory, and keeps idempotent processing state.
An end-to-end radio platform composed of a backend API, Razor Pages admin panel, and Windows client, covering device registration, playlist scheduling, media management, and playback logging.
A reusable Java automation library for Android devices that exposes touch, swipe, input, and screen-analysis primitives over ADB for scripted mobile workflows.
Additional work that expands the range of technologies, problems, and delivery styles in my portfolio.
A focused MVVM desktop utility that performs bulk column updates in Microsoft Access tables within a selected date range with validation and async operations.
A field integration desktop app that reads production data from Firebird, maps recipes and materials, and transfers pending records to Mikro ERP with automated send flows.
A CNN-based deep learning project that classifies car images into body types and includes data preparation, model training, and hyperparameter search notebooks.
A bug prediction dataset and model comparison study built from code metrics of 15 open-source Java projects, comparing multiple classical ML approaches.
The tools and technologies I work with
Have a project in mind? Let's work together!
Location
Samsun, Türkiye