Ipek Ucar

Final year computer engineering student with expertise in machine learning and data engineering. Working on building scalable AI systems, from semantic analysis and text processing pipelines to distributed computing architectures. Utilizing deep learning frameworks (PyTorch, TensorFlow) and modern MLOps practices to develop production-ready solutions. Currently exploring transformer architectures, RAG systems, and optimization techniques for real world applications. Driven by the intersection of theoretical research and practical implementation, with particular interest in making AI systems more efficient and accessible. Open-source contributor focused on advancing the field through collaborative innovation.