Hi, I'm Enes Demir
Computer Engineering Student at Kocaeli University. Developing myself in Machine Learning and Data Science, aiming for a career in these fields.
About Me
Professional Profile
Machine Learning Engineer with a focus on building scalable AI solutions.
My Journey
My journey began in my first year of university, where I laid a strong foundation in Computer Engineering by mastering algorithms and programming in C. This period was dedicated to understanding the core logic of computation and problem-solving.
At the beginning of my second year, I shifted my focus towards Data Science and Machine Learning. I was fascinated by the ability to extract insights from data, which naturally led me to dive deeper into the field.
Currently, I focus heavily on Data Science and Machine Learning, working with both image and tabular data. I specialize in handling data scarcity and conducting research on SOTA models, with a particular emphasis on classification tasks, Domain Generalization, and Self-Supervised Learning.
Skills & Tools
Technical Skills
Tools & Platforms
Projects
Domain Generalization in Medical AI
Research Proposal (TUBITAK 2209-A). Designed a deep learning framework integrating multimodal data fusion and label noise correction for Chest X-Ray analysis.
Intelligent Social Agent
Stateful autonomous agent using LangGraph and LLMs. Implemented graph-based architecture for context memory and multi-step reasoning.
ReviewIT - Social Library Platform
Scalable full-stack platform using React, TypeScript, Firebase, Python. Integrated TMDb/Google Books APIs. Real-time synchronization.
UrbanSound Classification
Preprocessed UrbanSound8K dataset converting audio to Mel-spectrograms. Trained a CNN architecture optimized for audio classification.
Image Prediction
CNN-based image classification model using CIFAR-10 dataset. Deployed on a server with a web interface.
Diabetes Classification
Logistic Regression model for diabetes diagnosis. Improved accuracy via feature engineering.
Data Visualization
Undirected graph visualization of co-authorship. Implemented DFS/Dijkstra algorithms in a Flask app.
Route Planning System
Multi-criteria transportation route planning system using OOP/SOLID principles with a web interface.
Card Battle Game
Card game with GUI using JavaFX. Implemented game mechanics and score tracking with clean code.
Experience
Undergraduate Researcher
Artificial Intelligence and Simulation Lab
Feb 2025 - Present
Developing a domain generalization framework utilizing Self-Supervised Learning (SSL) to extract robust feature representations from heterogeneous Chest X-Ray datasets. Conducted extensive comparative analysis and benchmarking of SOTA architectures (Vision Transformers, ConvNeXt, Swin Transformer). Engineered a modular, professional-grade training pipeline in PyTorch featuring automatic checkpointing and experiment tracking. Implementing feature fusion architectures to combine tabular clinical data with visual embeddings.
Education
Bachelor of Science in Computer Engineering
Kocaeli University
Oct. 2023 - Present
GPA: 3.58