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Bhargavi G.

Bhargavi G.

Gen AI Knowledge Expert | Data Labeling Analyst (Contract) — Meta / Social Media

Key Skills

Software

Label StudioLabel Studio
OneFormaOneForma
AWS SageMakerAWS SageMaker

Top Subject Matter

GenAI evaluation
search grounding
hallucination detection

Top Data Types

TextText
VideoVideo
DocumentDocument
AudioAudio
ImageImage

Top Task Types

SegmentationSegmentation
Entity (NER) ClassificationEntity (NER) Classification
TranscriptionTranscription
Audio RecordingAudio Recording

Freelancer Overview

Gen AI Knowledge Expert | Data Labeling Analyst (Contract) — Meta / Social Media. Core strengths include Internal, Proprietary Tooling, and Label Studio. Education includes Bachelor of Technology, Usha Rama College of Engineering & Technology (2019) and Diploma in Engineering, Dhanekula Institute of Engineering and Technology (2013). AI-training focus includes data types such as Text, Video, and Document and labeling workflows including Evaluation, Rating, and Segmentation.

Labeling Experience

Gen AI Knowledge Expert | Data Labeling Analyst (Contract) — Meta / Social Media

TextText

Provided rubric-based QA audits and scoring for LLM-generated responses focused on factual accuracy, evidence validation, reasoning quality, and search-grounded response assessment. Performed hallucination detection and instruction-adherence checks, then evaluated completeness, relevance, specificity, and policy compliance for each output. Conducted comparative response analysis and preference ranking to support conversational AI evaluation and long-form reasoning assessment. • Reviewed outputs for misclassified items, incorrect categorizations, and reporting inconsistencies • Validated information extraction and spreadsheet-reconciliation tasks within retrieval-based workflows • Audited large datasets for accuracy, consistency, and compliance with reporting standards • Documented root causes for process improvements and prepared progress/quality tracking reports.

2025 - Present
Label Studio

ADAS-DS Data Annotation Specialist (Contract) — Lucid Motors / Automotive

Label StudioLabel StudioVideoVideoSegmentationSegmentation

Labeled images and videos for autonomous driving and autopilot-related workflows using computer vision labeling tools. Completed 2D and 3D annotation work for ADAS projects, including multi-camera parking slot labeling with high spatial accuracy and cross-view consistency. Synchronized 3D and 2D annotation points using Match Point techniques, then validated raw footage and categorized video datasets by lighting, weather, traffic, and environmental conditions. • Created and validated top-down view labels across multiple camera perspectives • Performed judgment calls on edge cases and maintained labeling consistency with QA teams • Conducted raw footage validation and dataset categorization for training readiness • Participated in shadow sessions and presented ontology/workflow training to teammates.

2025 - 2025
OneForma

Data Annotator (Client: Microsoft / Retail) — Centific

OneFormaOneFormaTextTextTranscriptionTranscription

Performed object labeling for computer vision and retail AI using bounding boxes, polygons, and polylines. Conducted quality audits on annotated datasets to ensure compliance with client requirements and validated annotation consistency across multiple retail datasets. Worked on transcription and search relevance projects using OneForma and UHRS platforms. • Utilized Adobe Photoshop for image editing, segmentation, and person matting workflows • Managed catalog and product listing/image enhancement projects • Executed data quality validation and annotation review tasks • Supported retail dataset labeling pipelines for model training readiness.

2021 - 2023

Data Annotator | Data Moderator | Data Quality Analyst — Centific (Apple Voice Assistants & Conversational AI)

DocumentDocumentEntity (NER) ClassificationEntity (NER) Classification

Labeled NLP and OCR datasets for handwritten text recognition, printed text extraction, and document intelligence tasks. Worked on form processing and document understanding projects including table detection and analysis, and supported EnChar dataset annotation activities. Conducted quality audits for form processing and performed error analysis with feedback sessions to improve annotation accuracy. • Annotated handwritten/printed text and document structures for downstream ML • Performed table detection and form-processing labeling • Documented annotation feedback to drive quality improvements • Supported conversational AI/voice assistant workflows with validation of structured labels.

2021 - 2023
AWS SageMaker

Data Annotator Associate (Computer Vision) | Data Quality Analyst — Avistos (Amazon / E-commerce & Retail)

AWS SageMakerAWS SageMakerAudioAudioAudio RecordingAudio Recording

Annotated image, text, audio, and video datasets to support machine learning and AI applications. Performed computer vision labeling including image classification, object detection, semantic segmentation, and instance segmentation, and completed NLP/audio labeling for speech-to-text workflows. Used Amazon SageMaker Ground Truth for food ingredient, logo detection, and vehicle annotation, and supported transcription and segmentation tasks via Mechanical Turk and other tools. • Labeled video scenes and performed frame verification and action classification • Conducted speech-to-text annotation, audio segmentation, and transcription • Maintained quality control operations and monitored KPIs for large teams • Improved SOP compliance, throughput, and documentation for annotation workflows.

2019 - 2021

Education

U

Usha Rama College of Engineering & Technology

Bachelor of Technology, Electronics and Communications Engineering

Bachelor of Technology
2019 - 2019
D

Dhanekula Institute of Engineering and Technology

Diploma in Engineering, Electronics and Communications Engineering

Diploma in Engineering
2013 - 2013