Sarang Sarage

Seasoned AI Researcher and Linguist specializing in AI training and linguistic content development and evaluation. Proficient in core linguistic domains such as syntax, semantics, pragmatics and sociolinguistics, with expertise in enhancing Large Language Models (LLMs) through multimodal content review, analysis, data curation, annotation, LLM training and quality assurance. Committed to leveraging linguistic analysis to advance the intersection of language and technology.

Project Yog World | AI Research, Prompt Testing & Engineering, & Content Evaluation, Creation Project. Conducted a self-driven learning, research initiative focused on Generative Artificial Intelligence (GenAI), Natural Language Processing (NLP), and Large Language Models (LLMs) through hands-on experimentation and study. Practiced AI response testing, prompt engineering, and output quality evaluation to understand model behavior, accuracy, and limitations. Applied linguistic analysis including syntax, semantics, and pragmatics to review and validate AI-generated content. Gained practical exposure to data annotation, taxonomy structuring, corpus analysis, and guideline-based content review to simulate real-world AI training and evaluation workflows. Documented observations and insights to build understanding of bias detection, response consistency, and content quality standards, demonstrating strong initiative, curiosity, and commitment to learning AI model training and content evaluation processes.

Linguist, Self-published Author, Researcher, and independent multilingual content reviewer, editor, evaluator with experience in writing, editing, moderating and evaluating long-form and short-form content with high attention to linguistic accuracy, structure, and clarity. Published original work on digital platforms, demonstrating strong command over grammar, syntax, and content organization. Experienced in proofreading, text review, and guideline-based content evaluation, with the ability to identify errors, inconsistencies, and quality issues. This background supports skills relevant to AI content testing, annotation, LLM response evaluation, and linguistic quality review. https://www.amazon.com/author/sarangsarage