I'm a freelance developer working mainly in Flutter — one codebase, shipped to Android, iOS and Windows. I take on projects end to end: from the first wireframe to a signed build in the store.
| 📱 Mobile apps | Flutter apps for Android & iOS — offline-first storage, Firebase backends, camera and sensor integrations |
| 🖥️ Windows desktop tools | Flutter Desktop utilities for people who work on-site: network scanners, document tools, internal line-of-business apps |
| 🧠 On-device ML | Face recognition, image classification and detection that runs on the device — TensorFlow Lite + Google ML Kit, no server round-trip |
| ⚙️ Backend & APIs | Java / Spring Boot and Node.js services, REST APIs, Firebase, MongoDB and SQL Server |
Have a project in mind? → mehmetkuru0777@gmail.com
On-device face recognition for Android and iOS. Runs the FaceNet model through TensorFlow Lite with Google ML Kit handling detection — recognition happens entirely on the phone, so no image ever leaves the device.
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Flutter TensorFlow Lite ML Kit FaceNet
NetTara — a Windows desktop LAN scanner built for security-camera installers. Device discovery, port scanning and IP monitoring behind a Material 3 interface, on a modular Riverpod architecture.
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Flutter Desktop Riverpod Sembast
Flutter plugin for radio signal data on Android. Reads live cellular and WiFi state through TelephonyManager and WifiManager — signal strength, network type, operator, serving cell identity and LTE metrics — and estimates tower distance with a path-loss model that maps EARFCN values to frequency bands. Ships with an example app and tests.
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Flutter package RF analysis Sensors AR
Text Extract Comparator — a Windows desktop tool that pulls text out of PDF documents and diffs two versions against each other, for people who compare contracts and specifications line by line. Built on a View / ViewModel split with a native desktop menu bar.
Mobile & Frontend
Flutter Dart React Native JavaScript
Backend & Data
Java Spring Boot Node.js Firebase MongoDB SQL Server
ML on device