Shuva Kumar U.

Key Skills

Software

Scale AI

Appen

Label Studio

CVAT

Top Subject Matter

Autonomous Vehicles / Computer Vision

Natural Language Processing

Medical Imaging Diagnostics

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Classification

Polygon

Freelancer Overview

Senior Data Annotation Specialist. Core strengths include Scale AI, Appen,Cvat, and Label Studio. Education includes Bachelor of Science, University of Dhaka (2020). AI-training focus includes data types such as Image, Text, and Medical and labeling workflows including Bounding Box, Classification, and Polygon.

Labeling Experience

Senior Data Annotation Specialist

Scale AIImageBounding Box

I annotated over 120,000 image frames for a self-driving car client, applying bounding boxes, lane markings, and segmentation masks to support autonomous vehicle AI development. I maintained accuracy rates above 98% across more than a year, consistently outperforming peer metrics. Collaboration with QA leads and developing an internal annotation guide were key parts of my contributions. • 120,000+ frames labeled for computer vision pipeline • Advanced application of bounding boxes, segmentation, and lane detection • Error rate consistently below 2% • Direct impact on production-level AI deployments

2023 - Present

Data Labeling Analyst

AppenTextClassification

I completed NLP annotation tasks such as intent classification, NER, and sentiment labeling for English and Bengali datasets with over 200,000 labeled examples. I also contributed to RLHF tasks for large language model alignment and performed audio transcription for speech-to-text AI development. My work included detailed labeling, high output volume, and fast delivery times. • 200,000+ text examples annotated for AI training • RLHF preference ranking and model feedback tasks completed • Audio transcription for 400+ hours of speech data • Achieved Appen's Gold contributor tier within six months

2021 - 2022

Junior Annotation Technician

Label StudioPolygon

I labeled X-ray and MRI scans for a diagnostic imaging AI project, ensuring strict adherence to HIPAA protocols and project guidelines. I learned polygon annotation, keypoint labeling, and classification tagging in a fast-paced contract environment. My commitment to accuracy and speed contributed to unbroken task completion records. • Annotated medical images with polygons and keypoints • Label Studio and CVAT used for labeling tasks • Consistent on-time delivery across the contract • Supported training of new annotators during onboarding

2020 - 2021

Education

Work History