Anurag Singh

Ai Expert @micro1

San Francisco, CA, US

Working as an AI evaluation and model quality specialist responsible for improving the reliability, reasoning capability, and alignment of advanced AI systems. My role focuses on evaluating model outputs, designing structured scoring frameworks, and contributing to the training and refinement of large language models through high quality feedback and analytical review processes.Evaluate AI-generated responses across complex analytical, reasoning, and domain-specific tasks using structured rubric-based scoring methodologies to ensure quality, accuracy, and logical consistency.• Design and refine evaluation rubrics and scoring guidelines that standardize how AI responses are assessed across multiple evaluators and task environments.• Perform deep analysis of model outputs to identify reasoning errors, hallucinations, logical inconsistencies, and factual inaccuracies, contributing to improved model alignment and reliability.• Contribute to AI model training pipelines by generating high quality annotations, corrective examples, and structured feedback used to refine model behavior.•Support the continuous improvement of AI evaluation frameworks by identifying edge cases, improving evaluation prompts, and strengthening quality control processes.• Collaborate with cross-functional teams including AI trainers, reviewers, and evaluation specialists to ensure consistent and scalable assessment standards.• Conducted large-scale evaluation of AI-generated analytical responses using structured rubrics to assess reasoning quality, accuracy, and completeness.• Contributed to the development and refinement of evaluation frameworks used for training and benchmarking large language models.• Identified critical edge cases and reasoning failures in AI outputs, helping improve model response reliability and reduce hallucination rates.

Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow

Electronics and communication, B.tech