Çağatay ALKANPython Developer & Machine Learning Engineer

D4B is a civic technology platform enabling municipalities to manage citizen complaints and service requests with real-time job tracking and team coordination. Residents interact through a cross-platform Flutter app to submit detailed issues—including geolocation, media, and category tags—while administrators oversee operations via a feature-rich Next.js admin panel. The backend, built using modular Flask microservices, handles authentication, job dispatching, user and team management, location logging, notifications, and secure file uploads. PostgreSQL ensures data consistency, Redis powers fast-access caching, and Google Cloud Storage handles media assets. D4B promotes transparency, operational efficiency, and citizen satisfaction through scalable, secure, and observable architecture.

Pomodoro Timer is a comprehensive productivity application designed to help users implement the Pomodoro Technique effectively. It offers customizable work and break sessions, and it uniquely integrates personalized music recommendations to enhance focus during work periods. Leveraging multiple APIs—including Spotify, Apple Music, and Google API services—the app curates dynamic playlists that align with individual work rhythms. Built with Flutter for a seamless cross-platform experience and powered by Python on the backend with Firebase and Google Cloud for robust real-time data management and scalability, Pomodoro Timer represents an innovative approach to modern productivity.

Spearheaded the creation of a modular Flask backend template featuring dynamic multi-database support (PostgreSQL, SQLite, MySQL, MongoDB, Firebase/Firestore); implemented Pydantic-based environment validation for secure, type-safe configuration; organized all routes into Flask Blueprints to avoid spaghetti code; and provided context-managed connection managers to ensure resource cleanup and extensibility.

SyncBranch is a mobile app that analyzes Spotify listening data to create personalized user profiles and match users based on their music preferences. It leverages Spotify's audio features API and advanced data analysis to connect users with similar or complementary tastes, enhancing music discovery and social interaction.

Mediapipe is a Python-based project that leverages the power of MediaPipe, OpenCV, and WebSockets to perform real-time video processing and hand tracking. This project is designed to process video frames, detect hand landmarks, classify hand types, and broadcast data using WebSockets for further processing or display.

Developed and implemented a real-time object detection system for factory efficiency monitoring. Applied machine learning algorithms to track worker movements and created real-time data visualization tools.

ASYS (Analytical Sales Management System) is a system that provides detailed analyses based on the daily sales volume, sales price, and purchase price of sold products. It enables businesses to enhance both their financial performance and customer satisfaction.