Sensat.com Mobile App
Production mobile application for sensat.com built with Flutter/Dart. Scalable architecture with MVC pattern, GetX state management, and RESTful API integration.
Production app — MVC, GetX, REST APIs
FlutterDartGetX
Available for Freelance
SOFTWARE ENGINEER & MOBILE APPLICATION DEVELOPER
Hello, I'm Barış
As a Software Engineer with expertise in mobile development and full-stack technologies, I build scalable applications from the ground up. Specializing in Flutter, cross-platform apps, and backend with Node.js, I deliver production-ready solutions that drive business growth.
/ About Me
I'm a Software Engineer who genuinely enjoys the craft — not just writing code, but building things that actually work well and feel right to use. My focus is mobile development with Flutter, but I'm drawn to any problem that sits at the intersection of clean architecture and real user impact. I like working on products from the ground up: designing the structure, making it maintainable, and sweating the details that most people wouldn't notice. Whether it's a production app for thousands of users or a side project I'm building to scratch my own itch, I approach both with the same care. Currently based in Istanbul, open to freelance work and interesting collaborations.
Technical Skills
FlutterDartGetXMVCClean CodeREST APIsASP.NET CoreNode.jsReactC#Entity FrameworkMS SQL ServerPythonJavaSQLGitGitHubVS Code
Soft Skills
Problem SolvingTeam CollaborationEffective CommunicationAgile / ScrumUI/UX AwarenessClean Code & Best Practices
/ Projects
Velvet — AI-Powered Valet Management App
AI-powered valet parking management mobile app built with Flutter. Two-sided platform connecting valet businesses with attendants — featuring automatic vehicle identification, real-time tracking, and smart checkout via FCM push notifications.
AI vehicle identification — real-time valet management
FlutterDartFirebaseGoogle Maps
PhishGuard — Phishing Simulation Platform
Full-stack enterprise platform for conducting controlled phishing simulations, tracking user behavior, assessing organizational risk, and delivering targeted security awareness training — with an optional ML-powered analysis engine.
Enterprise security — ML-powered risk scoring
ReactNode.jsExpressMongoDB
Skin Cancer Detection System
Deep learning-based melanoma detection system using MobileNetV2 transfer learning on the HAM10000 dataset. Achieves 86.6% test accuracy and 82.7% AUC for binary classification, with a Streamlit web interface for practical deployment.
Deep learning — 86.6% accuracy melanoma detection
PythonTensorFlowDeep LearningStreamlit
Mock Factory — IoT Simulation API
Lightweight Spring Boot service that simulates industrial IoT devices on a virtual factory floor. Produces realistic telemetry streams and broadcasts them in real-time over WebSocket (STOMP), with a clean REST API and built-in dark-themed dashboard.
Real-time IoT telemetry — WebSocket & REST API
JavaSpring BootWebSocketREST API