Harini Veludandi

Key Skills

Software

OpenCV AI Kit (OAK)

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Image

Text

Video

Top Label Types

Audio Recording

Bounding Box

Entity Ner Classification

Question Answering

Text Generation

Freelancer Overview

I am a detail-oriented and motivated data science professional with hands-on experience in data annotation, text evaluation, and AI content validation for Large Language Model (LLM) training. My work involves ensuring the accuracy, consistency, and contextual relevance of annotated datasets, following strict project guidelines and quality assurance protocols. I have a strong foundation in Python, SQL, and data analysis, with practical skills in machine learning, NLP, and data visualization tools such as Power BI and Tableau. My project experience spans computer vision and medical data domains, including developing a CNN-based math symbol recognition tool and building machine learning models for early detection of liver cirrhosis. I am committed to maintaining high standards, collaborating effectively with teams, and continuously improving processes to support robust AI and ML solutions.

Labeling Experience

Analyst-AI/LLM

Opencv AI Kit OakImageBounding BoxPoint Key Point

Performed high-quality data annotation and text evaluation in accordance with project- specific guidelines to support Large Language Model (LLM) training. • Ensured accuracy, consistency, and contextual relevance of annotated datasets used in AI/ ML pipelines. Reviewed, validated, and refined AI-generated content for grammatical accuracy, semantic correctness, and contextual alignment. • Followed strict quality assurance protocols, confidentiality requirements, and delivery timelines. Collaborated with team members to provide feedback, resolve annotation issues, and contribute to continuous process improvement

Performed high-quality data annotation and text evaluation in accordance with project- specific guidelines to support Large Language Model (LLM) training. • Ensured accuracy, consistency, and contextual relevance of annotated datasets used in AI/ ML pipelines. Reviewed, validated, and refined AI-generated content for grammatical accuracy, semantic correctness, and contextual alignment. • Followed strict quality assurance protocols, confidentiality requirements, and delivery timelines. Collaborated with team members to provide feedback, resolve annotation issues, and contribute to continuous process improvement

2025

Education

Work History