Computer Engineering graduate from Ege University, currently a software development intern at Otokoç Otomotiv.
~/basak $ npm run dev · server ready in 312ms ▍
I graduated in Computer Engineering from Ege University in 2025 and I build web applications end to end — React and TypeScript on the front, Java Spring Boot and SQL on the back — with a real fondness for interfaces that feel good rather than just look fine.
I like carrying a feature all the way from database schema to the last pixel, and I'm happiest on teams where design and code talk to each other. Outside work: games and a permanently full coffee mug.
The tools I work with day to day.
Things I built, kept and still use.
Developed a Python-based LSTM model using PyTorch with a teammate to predict Bitcoin price movements. Integrated TA-Lib technical indicators, processed order-book and market data from LakeAPI, and stored features in SQLite. Trained and evaluated the model on Google Colab using high-resolution, multi-time-frame data.
ER models of real booking platforms analysed and merged into one normalised MSSQL schema for multi-modal travel — relational design, normalisation, integrity rules.
Bilingual (TR/EN) portfolio built with Next.js 15, TypeScript, and Tailwind CSS. Features a pixel-art UI rendered entirely in CSS, three switchable themes, a custom cursor, full SEO, and internationalization with next-intl. Deployed on Vercel.
Developed a full-stack medical appointment system with a Java Spring Boot backend and a separate frontend for appointment and patient management. Built RESTful APIs, implemented role-based access for doctors and patients, and added real-time scheduling with conflict validation. Used MySQL with JPA/Hibernate and supported appointment approvals, patient management, and medical notes.
Built a React.js application with Redux Toolkit for optimized state management of the cart, products, and users. Implemented React Router for smooth navigation and Material UI (MUI) with custom CSS for a responsive, professional interface.
Character discovery app with real-time filtering, multi-field sorting, pagination and detail views — dark theme, loading states and error handling throughout.
Performed data manipulation and visualization with Python, pandas, NumPy, and matplotlib to analyze gender-based salary disparities across European countries. Cleaned and processed datasets, calculated statistical measures, and visualized key patterns to highlight income inequality trends.