Eray Aydemir
AI Developer | Full Stack Developer
Full Stack Developer and Machine Learning Engineer specializing in deep learning, NLP, and cybersecurity. Conducting cutting-edge research at WiseLab@Hacettepe on detecting malicious functions from reverse-engineered malware samples using LLM models.
About Me
Background
Currently pursuing MSc in Information and Data Engineering at Hacettepe University (GPA: 3.68). Working as an AI Developer at Kloudser, developing full-stack applications and ML solutions. Conducting graduate research at WiseLab@Hacettepe on malware detection using LLM models to identify malicious functions from reverse-engineered malware samples.
Research Focus: Leveraging Large Language Models for cybersecurity applications, specifically detecting malicious code patterns in decompiled malware binaries.
Location: Ankara, Turkey
Technical Skills
Programming Languages
ML/AI Frameworks
Web Development
Tools & Cloud
My Projects
A collection of my work in web development and machine learning
LLM-Based Malicious Function Detection
ML/DLGraduate research project using Large Language Models to detect malicious functions in reverse-engineered malware samples. Developing novel approaches for analyzing decompiled code patterns.
Personal Portfolio Website
Web DevModern, responsive portfolio website built with SvelteKit and Tailwind CSS. Features project showcase and contact form with FastAPI backend for form handling.
Tuvens - Event Curation Platform
Web DevFull-stack event curation platform enabling users to discover, create, and manage events. Built with SvelteKit frontend, NestJS backend, AWS RDS PostgreSQL database, Cognito authentication, and S3 for storage.
Strand345 - Dynamic Website
Web DevDynamic website with interactive pages and integrated contact form. Built with SvelteKit, Tailwind CSS, Python backend, and Google Cloud API integration.
NGO Hukuk - Legal Blog
Web DevProfessional legal blog platform with content management system, article publishing, and SEO optimization. Built with Next.js and Tailwind CSS frontend, FastAPI backend, PostgreSQL database, deployed on VPS with Docker and Nginx.
GeoID - Business Website
Web DevProfessional business website with integrated contact form. Built with SvelteKit and Tailwind CSS featuring dark/light theme toggle for enhanced user experience.
LLM-Powered Android UI Agent
ML/DLDesigned Python agent integrating fine-tuned LLM with adb and emulator for autonomous UI exploration and interaction.
Android Malware Detection
ML/DLBuilt and deployed calibrated XGBoost model on 200K×44K dataset achieving 98% validation accuracy. Calibration ensures reliable probability outputs for better decision-making. Used reverse engineering and static analysis for feature extraction.
Android Malware Type Classification
ML/DLMulti-class classification system using calibrated XGBoost to identify malware types including Trojan, Downloader, Dropper, and other variants. Achieved 94% accuracy with calibrated probability outputs for reliable predictions.
Android Permissions Analyzer
ML/DLExtracts Android apps' permissions and explains to users what the app is capable of using fine-tuned Mistral 8B model.
Windows Malware Classification
ML/DLImplemented CNN model on executable-to-image transformations for malware research and classification.
Get In Touch
Have a project in mind or just want to chat? Feel free to reach out!