Ketan Raj

Key Skills

Software

SuperAnnotate

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Classification

Fine Tuning

Prompt Response Writing SFT

RLHF

Freelancer Overview

Nvidia (Gen AI Analyst) I improve the quality and accuracy of large-scale AI models by meticulously reviewing, correcting, and annotating AI-generated content, crafting prompts, and validating AI outputs and help in adaptive. My work directly enhances model performance and ensures outputs are reliable and factually sound. CK12 Foundation I enhance flexible LLMs by aligning curriculum, structuring learning progressions, crafting prompts, and validating AI outputs and help in adaptive Learning approach. I address misconceptions, design interactive elements, enable personalized pathways, annotate data for fine-tuning, and provide ongoing feedback to ensure accurate, adaptive, and effective math learning experiences. I train the Gemini and build the test cases for which it fails, and my job is to create a data set for the tuning of the LLM model same data set as Hugging face datasets. I used DistilBERT and the use case was text analysis from PDF, Sentiment analysis for reviews, Text classification and Named Entity Recognition. My experience with sequence-to-sequence models in machine translation is directly applicable to the work you're doing on text generation with LLMs. I'm also familiar with techniques like prompt engineering and fine-tuning, which are crucial for optimizing LLM performance. I have experience with algorithms like linear regression, logistic regression, and decision trees.

Labeling Experience

Mathematics trace reasoning

SuperannotateTextTrackingRLHF

we rate the trace reasoning of the LLM model

we rate the trace reasoning of the LLM model

2025

Education

Work History