Rushikesh S.

Key Skills

Software

CVAT

Labelbox

Other

Top Subject Matter

Computer vision (image annotation) for AI/ML training

Natural language processing (NLP) annotation for AI/ML training

Speech/speech-to-text data preparation for AI/ML training

Top Data Types

Image

Text

Audio

Document

Top Task Types

Segmentation

Entity (NER) Classification

Transcription

Freelancer Overview

Jr. Associate - Business Operations (Data labeling/annotation) at WNS Global Services Pvt Ltd. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Labelbox, and Other. Education includes Bachelor of Engineering, Matoshri College of Engineering and Diploma in Electrical Engineering, Sandip Polytechnic. AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Segmentation, Entity (NER) Classification, and Transcription.

Labeling Experience

Jr. Associate - Business Operations (Audio transcription) at WNS Global Services Pvt Ltd

OtherAudioTranscription

I completed audio transcription tasks to support AI/ML model training using speech-derived labels. I followed project guidelines to produce accurate transcriptions aligned with required formats. I contributed to overall dataset quality by participating in validation and peer review workflows. • Audio transcription for speech dataset creation • Followed detailed transcription instructions and formatting requirements • Supported dataset validation and quality checks for labeling accuracy • Collaborated with AI engineers to improve dataset quality

2023 - 2025

Jr. Associate - Business Operations (NLP/text labeling) at WNS Global Services Pvt Ltd

LabelboxTextEntity (NER) Classification

I performed text labeling for AI/ML training, including NER, sentiment analysis, and intent classification. I completed annotations according to detailed instructions and ensured consistency across dataset items. I supported quality outcomes by participating in validation and peer review steps to uphold high accuracy. • NER, sentiment analysis, and intent classification for text datasets • Annotated based on project-specific instructions and quality criteria • Used dataset preparation outputs (CSV/JSON) for downstream model training • Participated in peer review and quality validation processes

2023 - 2025

Jr. Associate - Business Operations (Data labeling/annotation) at WNS Global Services Pvt Ltd

CVATImageSegmentation

In a high-volume computer vision labeling role, I annotated 25,000+ images for AI/ML model training using bounding boxes, polygons, and segmentation. I ensured labels followed detailed project guidelines and updated standards as required by the program. I maintained 98%+ accuracy through peer review and quality validation processes. • Bounding box, polygon, and segmentation annotation for computer vision datasets • Followed annotation guidelines and incorporated labeling standard updates • Performed peer review and quality checks to sustain 98%+ accuracy • Used CVAT and Labelbox with CSV/JSON exports for dataset preparation

2023 - 2025

Education

Work History