Multi-Turn Conversation Design
Created simulated real-world interactions between users and AI assistants across applications like Calendar, Email, Maps, and Google Drive, emulating both user inputs and assistant tool calls.
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I am an AI Training and Evaluation Specialist with hands-on experience in curating and assessing high-quality training data for large language models. My work spans multilingual LLM evaluation in English, Arabic, and Turkish, code generation assessment, and localization quality control to ensure culturally accurate outputs. I have also designed multi-turn conversations that simulate realistic user–assistant interactions across tools such as Calendar, Email, and Maps.
Created simulated real-world interactions between users and AI assistants across applications like Calendar, Email, Maps, and Google Drive, emulating both user inputs and assistant tool calls.
Conducted AI model evaluations for localization quality, ensuring outputs were contextually accurate and culturally appropriate in English, Arabic, and Turkish.
Evaluated AI models’ ability to produce correct, efficient, and well-documented Python and C code, including debugging and problem-solving tasks.
Bachelor of Biomedical Engineering, Biomedical Engineering
AI & ML Engineer Intern