Stanford University
Master of Science, Computer Science
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I am a Computer Science specialist with over 6 years of experience in machine learning research, large language model fine-tuning, and software engineering. My background includes hands-on work with data annotation, evaluation frameworks, and prompt engineering, particularly in training and refining LLMs such as GPT-3.5/4 for code generation and reasoning tasks. I have designed and implemented over 500 test cases to identify model failure modes, developed error trace documentation, and applied advanced techniques like RLHF and bias detection to improve model accuracy and interpretability. My expertise spans Python, distributed systems, cloud platforms (AWS, GCP), and tools like Jupyter and Git. I am passionate about translating complex AI concepts into actionable training data and evaluation metrics to advance the capabilities of next-generation AI systems.
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Master of Science, Computer Science
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