Hrishab R.

Key Skills

Software

Don't disclose

Top Subject Matter

AI-assisted medical imaging labeling and verification (radiology/segmentation workflows)

Top Data Types

Image

Video

Text

Top Task Types

Segmentation

Freelancer Overview

AI & data labeling familiarity (semantic segmentation, multi-class labeling, logic verification). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Dental Surgery, AB Shetty Memorial Institute of Dental Sciences (2025) and Higher Secondary Education, DAV Kapildev Public School (2020). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Segmentation.

Labeling Experience

AI & data labeling familiarity (semantic segmentation, multi-class labeling, logic verification)

Don't discloseSegmentation

Prepared for AI/data-labeling workflows by familiarizing with annotation logic for medical imaging tasks and semantic labeling outputs. Assisted in understanding multi-class labeling and verification approaches used to validate labeled data. Practiced reasoning about segmentation and diagnostic labeling patterns for radiology-style inputs and 3D pipelines. • Covered semantic segmentation concepts and multi-class labeling. • Reviewed logic verification methods (Pearl Second Opinion, Diagnocat paradigms). • Linked labeling concepts to radiographic interpretation and 3D segmentation workflows. • Used clinical context such as CBCT/OPG analysis to inform labeling strategies.

2025 - Present

Education

Work History