Prashant Sharma

AI Operations and Language Data Specialist with 1.5+ years of experience supporting Large Language Model (LLM) workflows through evaluation, prompt optimization, human-in-the-loop systems, data validation, and quality assurance. Experienced in analyzing AI behavior, identifying failure patterns, improving response quality, and supporting scalable AI deployment workflows. Strong understanding of LLM evaluation frameworks, prompt engineering, RAG concepts, conversational AI, and multilingual language quality assessment.

Associate Prompt Engineer at Randstad Pvt Ltd (2024-08 – 2025-05)

• Evaluated Large Language Model outputs for factual accuracy, instruction adherence, contextual relevance, reasoning quality, and conversational effectiveness.
• Evaluated AI-generated outputs for contextual correctness, ambiguity detection, hallucination identification, and intent alignment.
• Flagged systematic model errors and contributed insights to improve upstream data collection and preprocessing pipelines.
• Contributed to human-in-the-loop evaluation workflows supporting AI model quality improvement initiatives.

Data and Annotation Engineer at P&R Groups (2025-07 – 2026-04)

• Maintained AI data quality pipelines supporting NLP and machine learning workflows.
• Implemented data validation and quality assurance checks to improve dataset integrity for downstream AI/ML models.
• Conducted quality reviews and root-cause analysis for annotation inconsistencies and data-related issues.
• Documented end-to-end data processes to ensure scalability and cross-team usability.

Diploma in Data & Generative AI – Ducat Institute (2023 – 2024)

Bachelors in Computer Applications (BCA) – Chaudhary Charan Singh University (2019 – 2022)