Renato Ferdy

I am an AI Data Trainer with a strong focus on enhancing the performance of Large Language Models (LLMs). My expertise lies in training AI interactions to ensure contextually appropriate responses and evaluating the quality of AI-generated content. I consistently contribute to improving model accuracy and user experience, making me a valuable asset in the field of AI.

Currently, I work at Outlier.ai, where I evaluate and rate AI-generated responses based on established guidelines and quality criteria. My role involves assessing grammatical structure, linguistic accuracy, and overall quality of AI responses. I also provide constructive feedback to peers, ensuring that our assessments meet high standards. My experience includes developing adversarial prompts to test AI robustness and performing quality assurance checks on colleagues' work.

Previously, I worked as a Full Stack Developer, where I designed and implemented a Laravel-based archive website that improved internal data management and reduced work time significantly. My educational background in Information Technology from the University of Brawijaya has equipped me with the necessary skills in web development and software engineering, which I apply in my current role.