Fatih C.

n11 is one of Turkey’s largest e-commerce marketplaces, serving millions of customers and merchants across a wide range of product categories.

• Developed machine learning and deep learning models to improve user experience, recommendation quality, and marketplace efficiency
• Built a comment tagging and classification system for product reviews using NLP techniques
• Developed models for customer segmentation and purchase intent prediction, enabling more targeted marketing strategies
• Contributed to large-scale data processing pipelines using Apache Spark and other big data frameworks
• Built ML solutions for recommendation systems, product catalog unification, demand forecasting, and dynamic pricing
• Worked with large datasets in distributed computing environments to train scalable models

Retrace AI is an artificial intelligence company focused on computer vision solutions for medical imaging and healthcare applications.

• Developed generative deep learning models, including VAEs and VQGANs, for synthetic medical image generation
• Implemented attention-based neural networks for image classification and instance segmentation tasks
• Built computer vision pipelines to support medical image analysis and diagnostic assistance systems
• Applied advanced deep learning techniques to enhance training datasets through synthetic data generation
• Worked with PyTorch and Python-based deep learning frameworks to train and evaluate models

Vestel is a global consumer electronics and technology manufacturer with strong research and development operations.

• Developed a machine learning model for software vulnerability detection, achieving state-of-the-art performance in research benchmarks
• Applied dataset balancing techniques such as undersampling to improve model accuracy
• Built ML pipelines for analyzing security datasets using Python
• Evaluated model performance and compared results against current research benchmarks

Adesso is an international IT consulting company delivering digital transformation solutions across multiple industries.

• Developed machine learning models across computer vision and NLP domains
• Implemented projects including image quality assessment (technical and aesthetic), email clustering, and customer segmentation
• Built machine learning pipelines for fraud detection and behavioral analytics
• Managed data collection and annotation workflows for computer vision datasets
• Developed and trained models using Python, PyTorch, and Keras frameworks
• Collaborated with distributed engineering teams to deliver data science solutions for enterprise clients