Khalil Z.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Technology / Natural Language Processing (NLP)

Healthcare & Medical AI

Data Scientist / Machine Learning

Top Data Types

Text

Image

Document

Top Task Types

Data Collection

Classification

Freelancer Overview

Localized Sentiment Data Annotation (Project). Have experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Hugging Face. Education includes Certificate, Hacktiv8 Jakarta (2024) and Bachelor of Information Systems, Mercu Buana University (2024). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Data Collection, Evaluation, and Rating.

Labeling Experience

Mammogram Tumor Detection (Project)

ImageClassification

Developed a computer vision workflow to detect tumor indications in mammogram images. Performed data exploration, cleaning, modeling, and evaluation as part of the supervised learning process. Produced risk predictions for uploaded images to support early breast cancer detection use cases. • Input: mammogram images • Pipeline: exploration and cleaning • Modeling and evaluation for tumor detection • Demo deployment for risk prediction via Hugging Face

2024 - 2024

Localized Sentiment Data Annotation (Project)

Don't discloseTextData Collection

Built an interactive human-in-the-loop pipeline to clean, filter, and label unmoderated public Google Maps reviews. Labeled 200 review rows from a specific tourism destination context to support localized sentiment data creation. Ensured dataset consistency for downstream sentiment analysis experiments. • Source data: public Google Maps reviews • Preprocessing: cleaning and filtering of text • Annotation scope: 200-row sample • Human-in-the-loop workflow for quality control

2026

Education

Work History