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Prabhav Sanga

Research Assistant - TRAIL Lab, University College London & The Alan Turing Institute

UNITED_KINGDOM flag
London, United Kingdom
$20.00/hrExpertOtherAws SagemakerAxiom AI

Key Skills

Software

Other
AWS SageMakerAWS SageMaker
Axiom AI
CVATCVAT
Data Annotation TechData Annotation Tech
DataloopDataloop
EncordEncord
Google Cloud Vertex AIGoogle Cloud Vertex AI
LabelImgLabelImg
Label StudioLabel Studio
LabelboxLabelbox
OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)
Scale AIScale AI
SlothSloth
Internal/Proprietary Tooling

Top Subject Matter

Healthcare
Medical Imaging
Detection

Top Data Types

ImageImage
VideoVideo
Computer Code ProgrammingComputer Code Programming

Top Task Types

Relationship
Bounding Box
Segmentation
Polygon
Entity Ner Classification
Object Detection
Classification
RLHF
Transcription
Fine Tuning
Text Generation
Question Answering
Text Summarization
Data Collection

Freelancer Overview

Research Assistant - TRAIL Lab, University College London & The Alan Turing Institute. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Science, University College London (2025) and Bachelor of Technology, GGS Indraprastha University (2024). AI-training focus includes data types such as Image and labeling workflows including Relationship.

ExpertEnglish

Labeling Experience

Research Assistant - TRAIL Lab, University College London & The Alan Turing Institute

OtherImageRelationship
As a Research Assistant, designed dermatology knowledge graphs using annotated images and open-source ontologies. Led efforts to structure lesion taxonomy and relationships via detailed data annotation. Enhanced domain representation by linking image content to medical knowledge structures. • Created structured mappings between skin lesion images and medical knowledge bases. • Utilized open-source ontologies alongside in-house image annotations. • Facilitated collaboration for dermatology-focused AI knowledge representation. • Improved data quality and consistency for downstream AI applications.

As a Research Assistant, designed dermatology knowledge graphs using annotated images and open-source ontologies. Led efforts to structure lesion taxonomy and relationships via detailed data annotation. Enhanced domain representation by linking image content to medical knowledge structures. • Created structured mappings between skin lesion images and medical knowledge bases. • Utilized open-source ontologies alongside in-house image annotations. • Facilitated collaboration for dermatology-focused AI knowledge representation. • Improved data quality and consistency for downstream AI applications.

2024 - 2025

Education

U

University College London

Master of Science, Artificial Intelligence and Medical Imaging

Master of Science
2024 - 2025
G

GGS Indraprastha University

Bachelor of Technology, Information Technology

Bachelor of Technology
2020 - 2024

Work History

E

Enthara Research

Co-Founder

London
2025 - Present
T

Think AI

Research Engineer Intern

London
2025 - 2025