Outlier Data
Working of written code coding question to tweak LLM to produce wrong answers
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I bring strong hands-on expertise in machine learning, NLP, and deep learning, with practical experience spanning the full ML pipeline — from data preprocessing and feature engineering to model training, evaluation, and deployment. My work has covered a wide range of domains including computer vision, text classification, clustering, and generative AI, using tools like Python, TensorFlow, PyTorch, LangChain, and Scikit-learn. This gives me a solid understanding of what high-quality, well-structured training data looks like and how it directly impacts model performance. What sets me apart for AI training data work is my ability to critically evaluate model outputs, spot edge cases, and deliver nuanced, domain-accurate annotations. My background in NLP — including semantic clustering, TF-IDF pipelines, and text preprocessing — sharpens my eye for language quality, factual correctness, and logical consistency. I approach every task with both technical depth and analytical rigor, ensuring my contributions meaningfully improve the models I help train
Working of written code coding question to tweak LLM to produce wrong answers
Bachelor of Technology, Chemical Engineering
Data Scientist