B.Sc. in Computer Engineering
Trakya University
I am a third-year Computer Engineering student focused on software development, artificial intelligence, and backend systems.
Computer Engineering Student
Building intelligent applications, backend systems, and AI-powered solutions with a focus on solving real-world problems.
Istanbul, Turkey
About
I enjoy learning new technologies, exploring different solutions to the problems I encounter, and applying what I learn to my own projects.
I am particularly interested in artificial intelligence and backend development. For me, it is not enough to build something that works; I want to understand how and why it works and improve with every project.
Journey
Trakya University
I am a third-year Computer Engineering student focused on software development, artificial intelligence, and backend systems.
Education
FlyRank AI
I contribute to software development within an AI-focused product team.
Experience
Trakya University IT Department
I handle user requests and contribute to the diagnosis, documentation, and resolution of hardware and software incidents.
Experience
GDG on Campus Trakya University
I manage community partnerships, sponsorship outreach, and external communications.
Community
Skills
Languages, tools, and technologies I actively use in my projects.
Python · TypeScript · JavaScript · C
Pandas · NumPy · scikit-learn · Jupyter
Next.js · REST API · Zod · Tailwind CSS
Git · GitHub · SQLite
Featured projects
Selected work across artificial intelligence, web development, and machine learning.
AI & Backend
A Next.js application that reviews JavaScript, TypeScript, Python, Java, C#, Go, Rust, and PHP code for security, bugs, performance, quality, and maintainability issues.
I built the API flow, Zod request and structured-output validation, server-only OpenAI key handling, severity-labelled issue cards, and overall score output.
Web Development & SEO
A multi-page kindergarten website bringing together the educational approach, galleries, locations, contact details, and application flow for the Gebze and Çayırova branches.
I implemented branch-specific pages, LocalBusiness JSON-LD, metadata and sitemap, a gallery lightbox, WhatsApp application form, and Google Maps integration.
Machine Learning
An educational machine-learning project that studies binary heart-disease classification using clinical and demographic features from the UCI Cleveland dataset.
I cleaned missing values, converted the target to binary form, used a stratified 80/20 split, and compared Logistic Regression, KNN, and Decision Tree models with cross-validation and classification metrics.
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