Praneeth Reddy P.

Key Skills

Software

Label Studio

Labelbox

Other

Internal/Proprietary Tooling

CVAT

Top Subject Matter

LLM evaluation and RLHF-style preference labeling

Educational content annotation and technical content labeling

Research data Evaluation, Annotation and Fine-tuning for AI training.

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Classification

Bounding Box

Object Detection

Fine-tuning

Freelancer Overview

Project Associate — AI Research & Data Engineering (AI4Bharat, IIT Madras). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Engineering, Sathyabama Institute of Science and Technology (2021). AI-training focus includes data types such as Text and labeling workflows including RLHF, Entity (NER), and Classification.

Labeling Experience

Project Associate — AI Research & Data Engineering (AI4Bharat, IIT Madras)

Don't discloseTextRLHF

Worked on RLHF-style feedback and response quality evaluation for large language model research. Assisted with preference labeling and structured labeling to support training and quality assurance workflows. Performed dataset quality checks to ensure label consistency for downstream model fine-tuning. • Conducted data collection, cleaning, and preparation for training datasets • Supported preference labeling and output quality scoring for RLHF-style pipelines • Helped validate label quality and consistency using automated checks • Collaborated with research teams to optimize labeling and evaluation processes

2023 - Present

Project Associate — Educational Content & Research (NPTEL, IIT Madras)

Don't discloseText

Provided data annotation and content tagging support for educational AI research initiatives. Labeled and verified technical content with structured labels to improve dataset usefulness for training and evaluation. Coordinated dataset preparation activities including quality verification and consistency checks. • Assisted in annotation and content tagging for educational datasets • Supported structured labeling of technical content • Conducted dataset preparation and quality verification • Contributed to data curation and process optimization

2022 - 2022

Project Trainee — Research & Development (NPTEL, IIT Madras)

Don't discloseTextClassification

Supported research data collection and annotation tasks for educational and AI training efforts. Assisted with assembling and preparing labeled datasets for model development. Focused on process optimization and quality assurance in data-driven labeling workflows. • Assisted in data collection, annotation, and technical implementation • Helped ensure labeling quality and dataset readiness • Supported structured dataset preparation for training pipelines • Contributed to quality-focused workflow optimization

2021 - 2022

Education

Work History