Neeraj K.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Clinical healthcare data annotation (patient records, vitals, medication logs, anomaly flagging)

AI image generation and labeled visual content datasets (poster/infographic-style assets)

Legal Services & Contract Review

Top Data Types

Image

Text

Document

Top Task Types

Classification

Freelancer Overview

Nursing Intern (Clinical Data & Documentation) — Nadakavil Hospital, Kerala, India. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Bachelor of Science in Nursing, Rajiv Gandhi University of Health Sciences (2026). AI-training focus includes data types such as Medical, DICOM, and Image and labeling workflows including Classification.

Labeling Experience

Nursing Intern (Clinical Data & Documentation) — Nadakavil Hospital, Kerala, India

Don't discloseClassification

During a nursing internship, recorded and maintained structured clinical patient data such as vitals, medication logs, and nursing observations. You categorized and documented clinical information using standardized medical terminology and coding concepts. You also identified anomalies by following observation protocols, aligning with anomaly detection-style labeling workflows. • Labeled patient vitals/observations using consistent clinical documentation formats • Applied medical terminology and coding standards to produce structured annotations • Flagged anomalies based on predefined clinical observation protocols • Performed record review and cross-checking for completeness and consistency.

2025 - Present

Digital Content Creator (Self-Directed) — Independent, Kerala, India

OtherImageClassification

Created and labeled AI-produced images using AI art/image generation tools. You used prompt engineering to drive output generation and then applied categorization/tagging logic to structure the resulting visual content. You evaluated and refined AI-generated video/image outputs for quality, consistency, and accuracy to support reliable dataset creation. • Generated AI images with prompt engineering and labeled outputs • Applied visual categorization/tagging logic for structured asset organization • Reviewed AI-generated content for accuracy and consistency (quality control) • Maintained organized digital asset libraries for labeled datasets.

2023 - Present

Education

Work History