Poyraz Kıvanç Karaçam

- Conducted cluster analysis of conversational data to identify distinct behavioral profiles, enhancing the selection of ideal profiles in production environments. - Developed and improved features for real-time conversational AI, including detecting and handling conversation endings, content moderation, and AI response generation. - Tested and enhanced features for generating content in coaching scenarios to improve user engagement.

- Researched and benchmarked simulation tools for textile-handling robots, contributing to machine learning task improvements. - Analyzed and proposed use cases to optimize internal development processes and explore new application areas. - Designed and implemented fully automated, physically accurate, photo-realistic synthetic data generation pipelines for deep learning tasks, significantly increasing data diversity.

- Developed a Python-based program for monthly customer sales reporting, reducing reporting time from days to seconds. - Analyzed sales data to support business intelligence initiatives and informed strategic decision-making.