I am a final-year student at Bahçeşehir University with a strong interest in Computer Vision, Machine Learning, and game development. I am actively working on improving my skills in Deep Learning. While working, I aim to gain experience in selecting the most suitable models for real world problems, optimizing data preprocessing workflows, and integrating large language models into common applications.
I built the infrastructure for a future project using Java Spring Boot. As part of this project, I developed a system at Aselsan that enables secure communication between the server and clients. In case of an emergency, the system allows files on client devices to be permanently and irrecoverably deleted using zeroisation upon receiving a request from the server.
Web Portfolio
My personal web portfolio site that I've developed using JavaScript.
https://ahadaydin.github.io/Custom-Web-Portfolio/
Permanent File Deletion System (Aselsan)
06/2024 - 08/2024
A project I developed at Aselsan using Java Spring Boot, this system enables secure communication between the server and clients. In case of an emergency, it allows files on clients to be permanently deleted in a way that they cannot be recovered, triggered by a request sent to the server's endpoint.
Rental House Price Prediction
A Python script that scrapes rental house features and prices within Istanbul from various real estate websites using Selenium. The data is then analyzed using ScikitLearn's linear regression, decision tree, and random forest models, with a comparison of these models to evaluate their performance. This script can predict the rental price of a house based on inputted location and other features.
https://github.com/AhadAydin/Rental-House-Price-Prediction
Traffic Sign Detector
For a Computer Vision course, I wrote this python code that detects and identies various trac signs seen by a camera, displaying the results on the screen in real time. Instead of using modern ML models like YOLO, it employs traditional computer vision techniques such as edge detection, feature matching, and template matching.
https://github.com/AhadAydin/Traffic-Sign-Detection
Graph Generating And Partitioning Algorithms Comparisons
In collaboration with two peers for the Algorithm Analysis course, I examined existing algorithms for NP-hard problems. Focusing on graph creation algorithms from NetworkX, we evaluated their performance and compared various graph partitioning models from Sklearn library.
https://github.com/AhadAydin/Comparing-Graph-Partitioning-Algorithms