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Prashant Sharma

Prompt Engineer | NLP & Generative AI Specialist

About Prashant

I am a Language Data Specialist and Prompt Engineer with 1.5+ years of experience in Generative AI, NLP, LLM evaluation, and AI data annotation workflows. I have worked on human-in-the-loop evaluation systems, multilingual dataset validation, prompt optimization, and AI quality assurance projects. My experience includes evaluating AI-generated outputs for contextual accuracy, hallucination detection, ambiguity identification, and reasoning consistency. I have contributed to improving AI response quality through structured annotation workflows, dataset optimization, and scalable data validation processes. I am skilled in Python, NLP tools, multilingual data handling, Hugging Face, SpaCy, NLTK, and fine-tuning dataset preparation. I enjoy working on challenging AI projects involving LLMs, RAG systems, speech recognition validation, and data-centric AI workflows.

Skills

  • AI Data Annotation
  • AI Model Evaluation
  • AI Quality Assurance
  • AI Response Evaluation
  • Annotation Workflows
  • Data Annotation
  • Data preprocessing
  • Data Quality Assurance
  • Dataset Validation
  • Fine-Tuning Dataset Preparation
  • Generative Ai
  • Hallucination Detection
  • Hugging Face
  • Human-in-the-Loop Evaluation
  • LLM Evaluation
  • Machine Learning Fundamentals
  • Multilingual Data Handling
  • NLP
  • prompt engineering
  • Python
  • RAG
  • SpaCy
  • Speech-to-Text Validation
  • SQL

Work Experience

Aug 2024 – May 2025
Associate Prompt Engineer
Randstad Pvt Ltd
  • Designed and executed human-in-the-loop evaluation workflows for Large Language Models (LLMs).
  • Evaluated AI-generated outputs for contextual accuracy, hallucination detection, ambiguity identification, and intent alignment.
  • Improved response quality and linguistic precision through structured annotation and validation workflows.
  • Collaborated with AI engineers and QA teams to improve evaluation metrics and workflow efficiency.

 

  • Contributed insights for improving upstream data collection and preprocessing pipelines.
July 2025 – April 2026
Data and Annotation Engineer
P&R Groups
  • Designed and maintained data pipelines for NLP and machine learning workflows.
  • Implemented data validation and quality assurance processes to improve dataset integrity.
  • Optimized data transformation workflows for consistency and scalability.
  • Worked on annotation quality checks and multilingual AI data processing tasks.
  • Documented end-to-end data workflows for better team collaboration and reproducibility.

Education & Training

2023 – 2024
Diploma in Data & Generative AI
Ducat Institute
Training focused on Generative AI, NLP, machine learning fundamentals, prompt engineering, and LLM workflows. Hands-on experience with Python, Hugging Face, SpaCy, NLTK, and AI dataset preparation.
2019 – 2022
Bachelor of Computer Applications (BCA)
Chaudhary Charan Singh University
Studied computer science fundamentals, programming, databases, software development, and data management. Built foundational knowledge in AI, machine learning, and software engineering concepts.

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