Audio Pattern Labeling
Evaluated and classified audio files by identifying patterns according to project-specific guidelines, ensuring consistent and accurate labeling for AI training purposes.
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I am an AI Trainer and data annotation specialist with experience in training, evaluating, and refining Large Language Models (LLMs) across multiple applications, including chatbots, text generation, and multimodal systems involving images and audio. I have hands-on experience reviewing LLM outputs, comparing responses, and rewriting answers to ensure accuracy, relevance, and quality, which has contributed to the development of high-performing AI models. In addition, I have worked on computer vision projects involving object detection in images, as well as the design and implementation of neural networks for mathematical modeling. My skill set spans prompt design, data labeling, dataset curation, and model evaluation, making me versatile across different AI training and data preparation tasks. I bring a strong combination of technical expertise and practical experience in ensuring datasets and model outputs meet high standards for AI applications.
Evaluated and classified audio files by identifying patterns according to project-specific guidelines, ensuring consistent and accurate labeling for AI training purposes.
Worked on a chatbot project where I reviewed and compared responses generated by the model. Each response was evaluated against predefined rubrics to ensure accuracy and adherence to guidelines. When necessary, I rewrote responses to refine the model’s outputs. The project required the model to strictly follow the rubrics without deviation, ensuring high-quality, consistent performance.
Designed prompts to rigorously test LLMs according to specific project requirements. Crafted challenging scenarios to expose model limitations, identify weaknesses, and guide improvements in performance.
Created email datasets to train an LLM, labeling different characteristics of each email according to a specific project-defined format. Ensured consistency and adherence to the labeling guidelines to support accurate model training.
Bachelor's Degree, Electronics Engineering
AI Trainer
Prompt Engineer