Outlier ai
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I am an experienced AI/ML engineer and AI trainer with over 6 years specializing in data annotation, RLHF, LLM evaluation, and AI training data workflows. I have designed and led evaluation frameworks for frontier large language models, conducted detailed response grading, hallucination detection, and factuality audits, and built structured ML benchmarks for real-world AI deployment—especially in STEM domains like physics, chemistry, and biology. My technical expertise spans Python, advanced ML frameworks (TensorFlow, PyTorch, Scikit-learn), prompt engineering, and NLP, alongside hands-on experience with platforms such as Outlier AI, Alignerr, and Mercor. I am passionate about building high-quality, safe, and aligned AI systems, and have a proven track record in developing automated data validation pipelines, annotation tools, and multilingual evaluation datasets to ensure robust model performance.
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Doctor of Philosophy, Physics
Master of Technology, Computer Science and Engineering
Machine Learning Engineer
Software Engineer