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Over the past two years, I have developed a strong technical foundation in Python and Deep Learning, with a specific focus on computer vision. This background allows me to approach AI training data with a developer's perspective, ensuring high-quality technical rationales and precise data labeling. Complementing my academic and development work, I have gained hands-on experience in LLM Red Teaming and Video Dubbing feedback. I am adept at identifying subtle model failures and providing detailed, evidence-based feedback to improve model alignment and performance. My dual experience in both high-level research and practical RLHF tasks makes me a highly reliable and detail-oriented contributor.
This is a RLHF project to score the output of dubbing models across multiple dimensions to provide human feedback.
High School Diploma, Mathematics
Bachelor of Science, Computer and Systems Engineering
Software Engineering Intern
Subsystem Designer
