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Performed human evaluation of generative AI outputs by analyzing prompt-response pairs and comparing multiple model-generated images. • Assessed outputs using evaluation dimensions including instruction following, visual fidelity, AI artifact detection, and overall response quality. • Identified inconsistencies and prompt misalignment in model outputs to support post-training improvement of generative models • Provided detailed analytical justifications to support evaluation decisions and maintain annotation consistency
Nri Institute Of Technology
B. Tech · Computer Science and Engineering with AI&ML
September 25, 2022 – May 14, 2026
Cultural Fit Analysis
The candidate's academic focus on AI&ML, coupled with practical projects in machine learning and generative AI, aligns well with a technically progressive environment. The interest in product analysis and user problems indicates a potential for cross-functional collaboration. However, the limited professional experience and project diversity (two main projects) suggest a developing understanding of broader industry contexts. The target role of 'Python / SQL – CrateDB Intern' aligns with the candidate's stated technical skills and academic background, indicating a good initial fit for an entry-level technical role.
Soft Skills & Operational Fit
The candidate demonstrates analytical and problem-solving skills through project work and internship experience. The ability to evaluate AI outputs and analyze user interaction scenarios suggests attention to detail and a user-centric mindset. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills, work attitude, stress handling, and team collaboration is not possible.