Aman M.

Key Skills

Software

Other

Top Subject Matter

Healthcare / Medical NLP (clinical text, radiology & lab reports)

Diagnostic imaging (medical images: X-rays, skin lesion photos)

Bilingual audio dataset annotation for medical-related AI (EN/HI)

Top Data Types

Text

Audio

Image

Document

Top Task Types

Classification

Bounding Box

Transcription

Polygon

Entity (NER) Classification

Freelancer Overview

Self-directed Medical Text Classification & Sentiment Labeling Practitioner (OpenTrain.ai contributor). Core strengths include Other. Education includes Bachelor of Medicine and Surgery, Rajendra Institute of Medical Sciences (2021). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Classification, Bounding Box, and Transcription.

Labeling Experience

Self-directed Projects

ImageBounding BoxPolygon

No description provided.

2023 - Present

Annotation QA / Reviewer (Quality Review & Validation)

OtherText

Performed quality review and validation of peer annotations for medical datasets. Checked labels for compliance with annotation guidelines and verified accuracy and consistency to reduce label noise. Supported higher dataset reliability for downstream AI training and evaluation. • Reviewed peer annotation outputs for correctness. • Validated guideline adherence and consistency. • Reduced label noise and improved dataset quality. • Ensured accurate labeling for medical AI workflows.

2023 - Present

Self-directed Audio Transcription & Tagging Specialist (EN/HI)

OtherAudioTranscription

Provided audio transcription and tagging for bilingual (EN/HI) datasets intended for AI training. Applied consistent tagging practices and ensured accurate, reliable transcripts to minimize noise in model learning. Followed dataset guidelines to maintain high-quality outputs across many samples. • Transcribed and tagged audio content in English and Hindi. • Used guideline adherence for consistent label/tag placement. • Maintained high accuracy and low error rates. • Produced fast, consistent outputs suitable for training.

2023 - Present

Self-directed Medical Image Bounding Box/Polygon Annotation (OpenTrain.ai)

OtherBounding Box

Performed medical image annotation including bounding box labeling and polygon-style delineation on clinical imagery. Used medical image interpretation skills to capture relevant findings accurately for diagnostic imaging AI training. Applied annotation guidelines to reduce errors and maintain label consistency. • Labeled X-rays and skin lesion images. • Created bounding boxes and polygon annotations. • Ensured high-accuracy, low-error labeling quality. • Maintained consistent formatting per style guides.

2023 - Present

Self-directed Medical Text Classification & Sentiment Labeling Practitioner (OpenTrain.ai contributor)

OtherTextClassification

Contributed to medical text classification and sentiment labeling for healthcare datasets using clinical domain context. Followed strict annotation style guides to maintain label quality and consistency across examples. Delivered accurate, high-throughput annotations to support medical NLP training and evaluation. • Labeled clinical text and sentiment categories. • Applied clinical terminology knowledge to improve label correctness. • Ensured high accuracy and consistent output. • Produced fast, deadline-oriented results.

2023 - Present

Education

Work History