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Data Annotation TechOneFormaScale AINo subject matter listed
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VideoI am a Machine Learning Engineer with hands-on experience in data annotation, language data curation, and human-in-the-loop training for AI models. My work at Outlier AI and Uber AI Solutions focused on optimizing Large Language Models (LLMs) through Reinforcement Learning from Human Feedback (RLHF), drafting advanced prompts, and resolving linguistic edge cases to improve model accuracy and response quality. I am highly skilled in Python, Java, SQL, and industry-standard AI/ML frameworks like TensorFlow, PyTorch, and Scikit-learn. My background includes projects in NLP, neural networks, and generative AI, and I am adept at using tools such as Hugging Face, Jupyter Notebooks, and AWS DynamoDB. I am passionate about building robust AI systems by ensuring the quality and integrity of training data.
RLHF processes, adversarial prompting strategies, and logical auditing frameworks and the knowledge in areas like Logic, Statistics, or Linguistics.
Bachelor of Technology, Computer Science
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