STEM AI Tutor
I provided high-quality data labeling and annotation across various AI projects to support the training and fine-tuning of Large Language Models that contributed to the release of Grok 4.0 at xAI.
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I am passionate about leveraging data to improve AI systems and drive strategic decisions. With hands-on experience as an AI Tutor at xAI, I have contributed to a variety of data labeling and annotation projects, including System Following, Multi-Modal, Instruction Following, and Audio Evaluation tasks. My work has directly supported the training and fine-tuning of large language models (LLMs), enhancing their ability to understand and generate human-like text. I am skilled in using proprietary annotation tools and applying advanced NLP and machine learning techniques to develop and evaluate generative AI systems. My background in data analytics, including proficiency with Python, SQL, SAS Enterprise Miner, and Tableau, allows me to efficiently manipulate and analyze complex datasets. I have a strong foundation in statistical analysis and a keen interest in the applications of AI and machine learning across different domains. I thrive in fast-paced, data-driven environments and am committed to continuously learning and applying innovative solutions to real-world business challenges.
I provided high-quality data labeling and annotation across various AI projects to support the training and fine-tuning of Large Language Models that contributed to the release of Grok 4.0 at xAI.
Master of Science, Data Driven Digital Marketing and Data Analytics
Master of Science, Civil Engineering
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