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K
Krishnan R.

Krishnan R.

Ai experted trainer

India flagMayiladuthirai, India

Key Skills

Software

No software listed

Top Subject Matter

Nlp
Os
web technology
display system
cnn

Top Data Types

ImageImage
TextText
Computer Code ProgrammingComputer Code Programming

Top Task Types

Entity (NER) ClassificationEntity (NER) Classification
SegmentationSegmentation
ClassificationClassification
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Data CollectionData Collection
Computer Programming/CodingComputer Programming/Coding

Freelancer Overview

I have experience supporting AI training and data annotation workflows across a range of language-related tasks, including content classification, text evaluation, data labeling, intent recognition, sentiment analysis, summarization assessment, and response quality review. My work involves applying detailed annotation guidelines, maintaining consistency across large datasets, identifying edge cases, and providing structured feedback to improve model performance. I am familiar with evaluating outputs for accuracy, relevance, safety, factuality, and adherence to project-specific requirements. In addition, I have experience performing quality assurance on labeled datasets, resolving annotation discrepancies, documenting decision rationales, and collaborating within guideline-driven environments. This includes working with both structured and unstructured data, conducting linguistic analysis, and helping ensure high-quality training data that supports the development and refinement of machine learning and generative AI systems.

Labeling Experience

I have experience contributing to AI training and data annotation projects involving text classification, content evalua

I have experience contributing to AI training and data annotation projects involving text classification, content evaluation, data labeling, quality assurance, and guideline-based review. My work has included assessing data for accuracy, relevance, consistency, and policy compliance, identifying edge cases, and maintaining high annotation quality across large datasets. I am comfortable working with detailed instructions, documenting decisions, and delivering accurate results within established quality standards. Additionally, I have experience evaluating AI-generated content, providing structured feedback, and supporting model improvement through human-in-the-loop review processes. I have developed strong analytical skills, attention to detail, and the ability to apply complex annotation guidelines consistently while meeting productivity and quality targets.

Not specified

Education

I

I studied B.tech in AI@Ds

Degree not specified

Not specified
Not specified

Work History

C

Company not specified

Data analyst

Location not specified
Not specified