Search Relevance Evaluator for Amazon (Toloka)
Evaluated the relevance of search results for e-commerce queries, ensuring that the AI-driven search engine provides accurate and helpful results to users.
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I am an Electrical and Electronics Engineering student at Dokuz Eylul University (Expected Graduation: 2028). My foundational AI training and data labeling experience includes image annotation via Toloka and Search Relevance Evaluation for Amazon. I have programming proficiency in Python, C++, and C#, making me well-suited for code evaluation and classification tasks. In addition to my academic studies, I am currently developing a self-hosted personal AI assistant, which has provided me with hands-on experience in LLM behavior, prompting, and local AI deployment.
Evaluated the relevance of search results for e-commerce queries, ensuring that the AI-driven search engine provides accurate and helpful results to users.
Performed high-precision image labeling and annotation tasks on the Toloka platform, specifically focusing on Bounding Box techniques for object detection models. Responsibilities included identifying and precisely outlining specific objects within diverse datasets to improve the accuracy of computer vision algorithms. Consistently maintained high quality and accuracy scores by strictly adhering to complex project guidelines and passing regular quality control checks.
Bachelor of Science, Electrical and Electronics Engineering
Frontend Developer