Utkarsh S.

Key Skills

Software

Labelbox

Label Studio

AWS SageMaker

CloudFactory

Data Annotation Tech

Google Cloud Vertex AI

OneForma

Roboflow

Top Subject Matter

ML/AI dataset annotation

AI chatbot evaluation and prompt testing

Legal Services & Contract Review

Top Data Types

Text

Image

Video

Top Task Types

Data Collection

Text Generation

Transcription

Text Summarization

Bounding Box

Polygon

Segmentation

Freelancer Overview

Data Engineer Intern | Data Annotation | Expert Global Group. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Don't disclose. Education includes Master of Computer Applications, Jawaharlal Nehru Engineering College (2025) and Bachelor's of Computer Science, Marathwada Institute of Technology (2022). AI-training focus includes data types such as Text and labeling workflows including Data Collection, Evaluation, and Rating.

Labeling Experience

Freelance AI & Technology Researcher (AI chatbot testing/evaluation)

Don't discloseText

Tested and explored multiple AI chatbot tools for productivity, research, and automation use cases. Evaluated AI-generated responses for clarity, usefulness, tone, and factual accuracy. Identified inconsistent or misleading outputs and documented improvement suggestions using prompt and edge-case experimentation. • Assessed chatbot outputs for clarity and usefulness • Checked tone and factual accuracy of responses • Explored prompts and edge cases to find limitations • Documented issues and improvement recommendations

2024 - Present

Data Engineer Intern | Data Annotation | Expert Global Group

TextData Collection

Annotated and labeled large datasets to support ML/AI model development. Focused on creating strong, structured datasets with consistent labeling that met accuracy needs. Collaborated with engineering teams to ensure dataset quality and compliance. • Labeled examples within large-scale datasets • Maintained label consistency and attention to detail • Supported ML/AI training dataset readiness • Worked on accuracy/compliance checks with engineering stakeholders

2022 - 2023

Education

Work History