CS Junior at Bilkent University experienced in full stack development and machine learning.
I deployed the Django backend of a web application for monitoring and analyzing financial transactions. I implemented a real-time transaction classification system to filter transactions based on pre-defined criteria.
Developed a model to categorize the COVID patients’ severity based on vitals collected through a sensor device in real-time. Also developed an AI chatbot to simplify the interaction of users with the app.
Frontend for accessing GPT models through API built with React, Vite, MongoDB, Docker, Tailwind CSS, and TypeScript
An e-commerce platform for university students to buy, sell, donate, and borrow items. Built with Next.js, Spring Boot, PostgreSQL, Redis, MinIO, Docker, and AWS.
Tower defense game built with Java, LibGDX, and Box2D. Proprietary game engine built from scratch for NPC pathfinding, collision detection, and rendering.
Using machine learning to enhance fall detection with wearable sensor data, highlighting the importance of precise and reliable classifications for improving healthcare outcomes.
How different complexities in an Artificial Neural Network (ANN) influence learning and generalization, with insights from various configurations.
An analysis of different dimensionality reduction methods applied to the Fashion-MNIST dataset, including PCA, Random Projections, Isomap, and t-SNE.
