Ankara
The project was about providing proper classification and quality ratings about math & programming problems.
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I have hands-on experience in data annotation and AI training data workflows, particularly through my work providing RLHF (Reinforcement Learning from Human Feedback) annotations for large language models in Turkish. My background in both psychology and software development allows me to approach data labeling with strong domain knowledge and technical proficiency. I have analyzed complex fMRI datasets using machine learning, contributed to the integration of Turkish LLMs with social robots, and refined AI-generated code into production-ready interfaces. I am skilled in Python, PyTorch, Keras, Pandas, and various data visualization tools, and I am comfortable working with high-dimensional, multimodal data in both academic and contract settings. My experience spans computational neuroscience, NLP, and human-computer interaction, and I am committed to delivering high-quality, accurate training data for advanced AI systems.
The project was about providing proper classification and quality ratings about math & programming problems.
Master of Science, Neuroscience
Bachelor of Arts, Psychology, Minor in Software Development
Research Assistant
Teaching Assistant and Lab Tutor