Erdem Yiğit

Erdem Yiğit is a Research Assistant and Master’s student in Computer Engineering at Yeditepe University. His research and professional work focus on large language models (LLMs), artificial intelligence, and generative systems, with a strong emphasis on building practical, production-ready AI solutions.

He actively works in the industry on AI-driven projects, including data science pipelines, synthetic and fake data content generation, and intelligent content automation systems. His technical interests span from model training and evaluation to system integration, where AI models are embedded into real-world products and workflows rather than isolated experiments.

His research interests include text-to-3D object generation, code-based 3D geometry synthesis, and multimodal learning systems that combine language, structure, and visual representations. He is particularly interested in transforming high-level textual descriptions into executable, interpretable outputs, and in designing end-to-end AI systems that balance model performance, scalability, and user experience.

Beyond research, he is involved in applied AI development, academic projects, and software engineering practices related to AI-enabled systems, contributing to both experimental research and industry-oriented solutions.