Musoke S.

Key Skills

Software

Don't disclose

Top Subject Matter

Cancer diagnostic and pathology-based AI training

Pathology slide annotation (Cytology, histology, Immunohistochemistry)

Pathology Prompt evaluations and real life evaluation of AI pathology responses

Top Data Types

Video

Image

Text

Top Task Types

Fine-tuning

Classification

Freelancer Overview

AI model training support (breast cancer cytology slide screening) — Ekyaalo Project. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Master of Medicine in Pathology, Mbarara University of Science & Technology (2019) and Bachelor of Medicine, Bachelor of Surgery, Makerere University (2014). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Fine-tuning, Evaluation, and Rating.

Labeling Experience

AI model training support (breast cancer cytology slide screening) — Ekyaalo Project

Don't discloseFine-tuning

Contributed pathology expertise to AI model training for breast cancer cytology slide screening. The work involved supporting the creation and refinement of training data used for cytology slide interpretation. This contributed to improving the quality of AI-enabled diagnostic workflows for cancer screening. • Breast cancer cytology slide screening • Training-data support using pathology expertise • Model training contribution focused on diagnostic specimens • Improved readiness of AI diagnostic workflow outputs

2025 - 2025

Expert pathology evaluation for study lesions — MakCHS / iTECH Research Project

Don't disclose

Assisted in a research study by examining placentas from cases and controls using pathology lesion assessment criteria. While not described as labeling, the role included expert pathology review guided by Amsterdam Criteria, supporting dataset quality for research/AI-adjacent workflows. The activity helped validate and standardize lesion identification used in study-controlled comparisons. • Placenta pathology review for lesions • Assessment guided by Amsterdam Criteria • Case/control diagnostic examination support • Contributed to research dataset consistency

2023 - 2024

Education

Work History