Tannu S.

Key Skills

Software

No software listed

Top Subject Matter

Generative AI and Large Language Models

Natural Language Processing

sentiment analysis and text classification

Top Data Types

Text

Top Task Types

Classification

Freelancer Overview

AI/LLM Analyst — LLM prompt engineering and model evaluation. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Technology, Lovely Professional University (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI/LLM Analyst - Innodata Inc

TextClassification

Designed and optimized prompts for Large Language Models (LLMs) to improve response accuracy, relevance and alignment. Evaluated model outputs using structured metrics, contributing to continuous model improvement. Contributed to generative AI use cases through iterative prompt tuning and testing. Conducted data validation, annotation QA and feedback loops to ensure high-quality training datasets. Collaborated with cross-functional teams to refine datasets and improve AI system performance.

2025 - 2026

AI/LLM Analyst — LLM prompt engineering and model evaluation

Text

LLM response evaluation using structured metrics, annotation QA, data validation and feedback loops for training dataset quality.

2025 - 2026

Data Annotator - Ola Krutrim

TextClassification

Performed evaluation and quality assurance of AI assistant responses to ensure accuracy, coherence and usability. Analyzed structured and unstructured datasets to improve NLP model training quality. Improved dataset consistency by 20% through guideline refinement and validation techniques. Automated data quality checks using Python, achieving over 95% accuracy in annotations. Supported development of NLP models for sentiment analysis and text classification.

2025 - 2025

Data Annotator — AI assistant response evaluation and NLP dataset quality assurance

Text

AI assistant response evaluation, quality assurance, dataset validation, and annotation consistency improvement for NLP model training.

2025 - 2025

Education

Work History