Uolo-P
This project was about online fact-checking tasks by identifying fake news online.
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I have hands-on experience in AI training data and data annotation, having worked as an AI Trainer and Engineer with Appen and Outlier. My work involved refining and evaluating AI models through diverse projects such as UOLO P AUDITORS, PROJECT WHATCOM, and UHRS, where I contributed to data labeling, content evaluation, and factual verification, particularly in natural language processing and multilingual domains like Hindi. I am skilled in assessing AI-generated outputs, creating high-quality datasets, and collaborating with global teams to ensure accurate and effective model training. My technical background in computer science, along with proficiency in cloud tools like AWS and expertise in infrastructure monitoring, further strengthens my ability to contribute to robust and reliable AI systems.
This project was about online fact-checking tasks by identifying fake news online.
Bachelor of Technology, Computer Science
N/A, Science
Analyst II - Infrastructure Services