Woolf University
Master of Science, Computer Science: AI/ML
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I bring hands-on experience in AI training and data labeling, particularly in the domains of coding, text generation, and STEM education. As a core member of the Learning R&D team at AlmaBetter, I’ve led the design and review of structured learning datasets used to simulate job interviews, coding challenges, and behavioral assessments across Python, SQL, and JavaScript. My work involves curating prompt-response pairs, validating code outputs, and ensuring pedagogical accuracy—skills directly aligned with high-quality data labeling and reinforcement learning workflows. In addition to technical training content, I’ve worked extensively in evaluating large language model (LLM) outputs for factual consistency, tone, and instructional clarity. With a background in data science and product management, I’m skilled at maintaining labeling guidelines, ensuring annotation quality, and iterating based on model performance feedback. This blend of instructional design, domain depth, and evaluation rigor sets me apart as a well-rounded contributor to AI training pipelines.
Soumya Ranjan M. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master of Science, Computer Science: AI/ML
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