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Prasad B.

Prasad B.

SR (Sign Detection) Project Data Annotation Specialist

India flagBengaluru, India

Key Skills

Software

SuperAnnotateSuperAnnotate
CVATCVAT
LabelboxLabelbox
SuperviselySupervisely

Top Subject Matter

Traffic Sign Detection (Automotive)
Autonomous Vehicle Perception/Tracking
Large Language Model (LLM) Evaluation

Top Data Types

ImageImage
3D Sensor3D Sensor
TextText
AudioAudio
VideoVideo

Top Task Types

Bounding BoxBounding Box
SegmentationSegmentation
ClassificationClassification
TranscriptionTranscription
TrackingTracking
PolygonPolygon
Point/Key PointPoint/Key Point
Object DetectionObject Detection

Freelancer Overview

SR (Sign Detection) Project Data Annotation Specialist. Core strengths include Other and SuperAnnotate. Education includes Secondary School Leaving Certificate, Morarji Desai Model Residential School (2016) and Pre-University Education, Morarji Desai Residential PU Collage (2018). AI-training focus includes data types such as Image, 3D Sensor, and Text and labeling workflows including Bounding Box, Segmentation, and Evaluation.

Labeling Experience

SuperAnnotate

Video Annotation and Tracking Specialist

SuperAnnotateSuperAnnotateVideoVideoTrackingTracking

I performed detailed video annotation for object detection and tracking complex dynamics in sports, traffic, and agricultural research. My annotations enabled precise temporal data creation for automated analysis and prediction systems. Team collaboration and quality review were integral to my annotation workflow. • Used SuperAnnotate and Mindkosh for advanced video tracking projects. • Worked on sports, vehicle, and plant growth analysis. • Ensured consistent annotation across frames and sequences. • Conducted internal quality assurance for project outputs.

Not specified
SuperAnnotate

Audio Annotation and Transcription Specialist

SuperAnnotateSuperAnnotateAudioAudioTranscriptionTranscription

I executed high-accuracy audio transcription for multi-speaker conversations, optimizing structured datasets for machine learning. My work supported projects aiming at speech recognition and natural language processing improvements. Detailed annotation and verification ensured accuracy across varied audio scenarios. • Used SuperAnnotate and Mindkosh for audio transcription. • Focused on multi-speaker and noisy environment datasets. • Prioritized accuracy and quality in transcribed output. • Supported downstream speech and NLP modeling projects.

Not specified
SuperAnnotate

2D Image Annotation Specialist

SuperAnnotateSuperAnnotateImageImageBounding BoxBounding Box

I performed bounding box, polygon, and polyline annotations on 2D images for various detection needs such as object identification and roof structure analysis. Projects included military vehicle detection and satellite imagery annotation for multiple domains. Consistently ensured accuracy and compliance with project specifications. • Used SuperAnnotate, CVAT, Mindkosh, and Roboflow for image annotation tasks. • Worked on military, satellite imagery, and roof detection cases. • Applied multiple annotation modes (box, polygon, polyline). • Maintained data quality and consistency across datasets.

Not specified
SuperAnnotate

Contextual Intelligence Data Annotator

SuperAnnotateSuperAnnotateImageImageClassificationClassification

I engineered real-time content analysis solutions for image and video data, enabling advanced targeting for advertising scenarios. My role focused on multi-modal moderation pipelines and context-aware annotation to optimize engagement metrics. Implemented metadata extraction for real-time content descriptions to enhance discoverability. • Used SuperAnnotate for image and video content analysis. • Developed automated moderation workflows. • Annotated content for targeted ad serving. • Extracted metadata to support content indexing.

Not specified
SuperAnnotate

RUBY LLM Human-in-the-Loop Evaluator

SuperAnnotateSuperAnnotateTextText

I worked on a framework providing human-in-the-loop evaluation of large language model agents, focusing on factuality, prompt adherence, and output quality. My responsibilities included comparative rating, feedback generation, and aggregating data for model improvement. The role required detailed annotation and assessment to support iterative training processes. • Used SuperAnnotate for text data evaluation and rating. • Evaluated LLM output for quality and accuracy. • Generated feedback and comparative summaries. • Facilitated robust model evaluation workflows.

Not specified

Education

M

Morarji Desai Residential PU Collage

Pre-University Education, General Pre-University Education

Pre-University Education
2018 - 2018
M

Morarji Desai Model Residential School

Secondary School Leaving Certificate, General Secondary Education

Secondary School Leaving Certificate
2016 - 2016

Work History

T

thakral one

data analyst

Bengaluru
2026 - 2026
P

prudent partners LLP

quality analyst

mysore
2023 - 2025