SOFTWARE ENGINEER · MOBILE & WEB
I build mobile apps with Flutter and full-stack web products with Next.js, TypeScript, and Supabase — from the architecture up to the details users feel but never notice. I like taking an idea from a blank screen to something people actually use in production.
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.
Classic
SignatureBanana Matcha Latte
TRY 255.00Spanish Latte
TRY 240.00Espresso Tonic
TRY 220.00Pistachio Quattro Latte
TRY 265.00Live SaaS for restaurants where every dish is a short autoplay video instead of a static photo. Each business gets a QR-driven digital menu with a bilingual public menu and an auth-gated dashboard to manage content, templates, and QR codes.
Production mobile application for sensat.com built with Flutter/Dart. Scalable architecture with MVC pattern, GetX state management, and RESTful API integration.
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.
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.
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.
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.
