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Vaishno Allada

Vaishno Allada

Data Labeling Lead (AI Training Firm / Tech Company)

India flagchennai, India
Entry LevelLabelboxLabel StudioProdigy

Key Skills

Software

LabelboxLabelbox
Label StudioLabel Studio
ProdigyProdigy
CVATCVAT

Top Subject Matter

Autonomous Vehicles / Computer Vision
Chatbots Domain Expertise
Voice Recognition / NLP

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Bounding BoxBounding Box
Entity (NER) ClassificationEntity (NER) Classification
ClassificationClassification
SegmentationSegmentation

Freelancer Overview

Data Labeling Lead (AI Training Firm / Tech Company). Core strengths include Labelbox, Label Studio, and Prodigy. Education includes Bachelor of Science, Bapatla College (2024). AI-training focus includes data types such as Image, Text, and Medical and labeling workflows including Bounding Box, Entity (NER) Classification, and Classification.

Entry LevelEnglish

Labeling Experience

CVAT

Medical Imaging Annotation Specialist (Research Project)

CVATSegmentation
Annotated 1,000+ medical X-ray and MRI images to outline anatomical structures for early anomaly detection. Ensured HIPAA/GDPR data privacy on all sensitive medical imagery. Supported a research effort using computer vision for improved diagnostic accuracy. • Used CVAT and VGG Image Annotator (VIA) for medical segmentation. • Focused on high-precision boundary annotation. • Adhered to strict privacy compliance protocols. • Specialized in detection of early-stage medical anomalies.

Annotated 1,000+ medical X-ray and MRI images to outline anatomical structures for early anomaly detection. Ensured HIPAA/GDPR data privacy on all sensitive medical imagery. Supported a research effort using computer vision for improved diagnostic accuracy. • Used CVAT and VGG Image Annotator (VIA) for medical segmentation. • Focused on high-precision boundary annotation. • Adhered to strict privacy compliance protocols. • Specialized in detection of early-stage medical anomalies.

2023 - 2023
Prodigy

NLP Sentiment Analysis Annotator (Project)

ProdigyTextClassification
Manually labeled 10,000+ social media comments for brand sentiment monitoring AI. Developed nuanced 'Sarcasm Detection' sublabeling to capture complex emotion. Supported model training for better sentiment accuracy in diverse contexts. • Utilized Prodigy and Label Studio for annotation. • Implemented positive, negative, and neutral sentiment classes. • Created additional annotations for sarcasm/language subtleties. • Focused on social media data for NLP applications.

Manually labeled 10,000+ social media comments for brand sentiment monitoring AI. Developed nuanced 'Sarcasm Detection' sublabeling to capture complex emotion. Supported model training for better sentiment accuracy in diverse contexts. • Utilized Prodigy and Label Studio for annotation. • Implemented positive, negative, and neutral sentiment classes. • Created additional annotations for sarcasm/language subtleties. • Focused on social media data for NLP applications.

2023 - 2023
Labelbox

Data Labeling Lead (AI Training Firm / Tech Company)

LabelboxImageBounding Box
Oversaw annotation of 5,000+ images weekly for autonomous vehicle model training using bounding boxes and 3D cuboids. Maintained a 99.5% accuracy rate while enforcing project standards and rigorous QA. Drove clarifications in annotation instructions, reducing model error rate by 15%. • Used Labelbox, CVAT, and AWS SageMaker Ground Truth for high-volume labeling. • Standardized annotation workflow and developed feedback systems. • Coordinated with ML and QA teams for continuous improvement. • Focused on computer vision for self-driving car data.

Oversaw annotation of 5,000+ images weekly for autonomous vehicle model training using bounding boxes and 3D cuboids. Maintained a 99.5% accuracy rate while enforcing project standards and rigorous QA. Drove clarifications in annotation instructions, reducing model error rate by 15%. • Used Labelbox, CVAT, and AWS SageMaker Ground Truth for high-volume labeling. • Standardized annotation workflow and developed feedback systems. • Coordinated with ML and QA teams for continuous improvement. • Focused on computer vision for self-driving car data.

2022 - 2023
Label Studio

Data Annotation Specialist (Data Services Outsourcing)

Label StudioTextEntity Ner Classification
Performed large-scale text data annotation for NER and intent classification to enhance global retail chatbots. Conducted audio transcription and sentiment analysis for voice recognition training in multiple dialects. Improved productivity through process optimization within labeling platforms. • Tools used: Label Studio, Prodigy, VGG Image Annotator (VIA). • Maintained comprehensive labeling documentation. • Ensured detailed logic logging for iterative dataset improvement. • Specialized in NLP annotation tasks.

Performed large-scale text data annotation for NER and intent classification to enhance global retail chatbots. Conducted audio transcription and sentiment analysis for voice recognition training in multiple dialects. Improved productivity through process optimization within labeling platforms. • Tools used: Label Studio, Prodigy, VGG Image Annotator (VIA). • Maintained comprehensive labeling documentation. • Ensured detailed logic logging for iterative dataset improvement. • Specialized in NLP annotation tasks.

2021 - 2022

Education

B

Bapatla College

Bachelor of Science, Computer Science

Bachelor of Science
2024 - 2024

Work History

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