federal university of abeokuta
bsc, computer science
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With 2+ years of hands-on experience in data labeling and AI training data annotation, I have delivered high-quality labeled datasets for machine learning models across text classification, sentiment analysis, and structured financial data. I specialize in following complex annotation guidelines with 98–99% accuracy, performing quality assurance reviews, and providing feedback that directly improves model performance. My background includes labeling large volumes of transaction records and conversational data for NLP projects, as well as evaluating AI outputs using RLHF techniques to ensure safety, relevance, and truthfulness.What sets me apart is my dual strength in both meticulous annotation and software development. As a developer proficient in TypeScript, React, and data workflows, I bring technical insight to coding-related annotation tasks (Python, JavaScript, SQL evaluation) and can quickly adapt to custom tools like Labelbox or CVAT. This combination of sharp analytical skills, attention to detail, and real-world coding experience allows me to handle advanced AI training projects faster and with higher precision than most annotators — consistently turning raw data into reliable training material that accelerates model deployment.
Aderounmu T. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
bsc, computer science
software developer