Alignerr
LLM Response Evaluation & Comparative Code Review (PR-style reasoning tasks)
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I have hands-on experience in AI data annotation, having labeled large language model (LLM) responses to improve model alignment and evaluation. My work involved identifying factual errors, reasoning inconsistencies, and edge-case failures, while maintaining strict adherence to annotation guidelines and quality benchmarks. With a strong technical background in web development and REST API integration, I bring an analytical mindset and attention to detail to data labeling tasks. I am comfortable working with structured data, following precise policies, and contributing to high-quality AI training datasets.
LLM Response Evaluation & Comparative Code Review (PR-style reasoning tasks)
Master of Computer Applications, Computer Applications
Bachelor of Computer Applications, Computer Applications
Full-Stack Developer Intern
Full-Stack Developer