Enis Furkan Kırmızı

Artificial Intelligence and Data Engineering third year student with strong background in machine learning, deep learning, data analysis and database systems. Known for effective collaboration, adaptability to evolving project needs, and delivering impactful solutions. Skilled in Python, C++ with keen focus on driving team success and achieving tangible results. Reliable and flexible, consistently contributing to high-performing teams.

Banking Management System Database

• Designed and implemented a relational database with 10 tables for a banking system using MySQL, including an ER diagram to model relationships.
• Developed a RESTful API with CRUD operations and secure money transaction functions using Python Flask, with Swagger for documentation.
• Built two versions: one using an ORM (SQLite) and another with raw SQL statements, ensuring SQL injection protection.

AWS Scalable Cloud Architecture for High-Traffic Web Hosting

• Designed a scalable, secure AWS architecture for a high-traffic WordPress site experiencing fluctuating loads and frequent cyberattacks.
• Implemented cost estimation, security measures, and an automated backup strategy to enhance resilience and performance.

MNIST Handwritten Digit Classification Using CNN

• Developed a Convolutional Neural Network (CNN) to classify handwritten digits from the MNIST dataset using PyTorch.
• Trained the model on Google Colab CUDA GPUs, leveraging multiple convolutional and fully connected layers.
• Achieved ~99% accuracy through hyperparameter tuning, dropout, and batch normalization.
• Evaluated model performance using a confusion matrix, precision, recall, and F1-score.