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Safa El Kordy

Safa El Kordy

Expert in Transcription and linguistics

Morocco flagMohammedia, Morocco
$8.00/hrEntry LevelOneformaInternal Proprietary Tooling

Key Skills

Software

OneFormaOneForma
Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

DocumentDocument
Medical DicomMedical Dicom
TextText

Top Task Types

Audio Recording
Translation Localization

Freelancer Overview

I have hands-on experience in scientific image annotation and data labeling, particularly in biomedical and pharmaceutical contexts. Most recently, I worked on customizing the Cellpose + SAM (Segment Anything Model) pipeline to segment and classify cells in microscopy frames. This required precise pixel-level labeling, object classification across time frames, and quantification of metrics such as brightness, area, and count. Through this, I gained proficiency in using Python-based tools like cellpose, opencv, and scikit-image, and developed an understanding of how to transform raw scientific images into structured training data for machine learning.

Entry LevelArabicFrenchEnglish

Labeling Experience

Microscopy Image Annotation for Cell Classification and Segmentation

Internal Proprietary ToolingImageSegmentationClassification
Annotated microscopy image sequences to classify and segment cells over time using a custom AI pipeline (Cellpose + SAM). The project involved identifying and labeling four categories: circular live cells, fixed cells, dead cells, and abnormal fragments. Each object was segmented, tracked over time, and measured for brightness, area, and count. The output included AVI videos with overlaid masks and a data table for frame-wise analysis. The project required advanced image processing, strong domain knowledge in cell biology, and hands-on work with open-source AI tools.

Annotated microscopy image sequences to classify and segment cells over time using a custom AI pipeline (Cellpose + SAM). The project involved identifying and labeling four categories: circular live cells, fixed cells, dead cells, and abnormal fragments. Each object was segmented, tracked over time, and measured for brightness, area, and count. The output included AVI videos with overlaid masks and a data table for frame-wise analysis. The project required advanced image processing, strong domain knowledge in cell biology, and hands-on work with open-source AI tools.

2025 - 2025

Education

F

Faculty Of Sciences And Technologies Of Mohammedia

Bachelor's, Biomedical Engineering Technology

Bachelor's
2016 - 2017
A

Abdelkarim Khattabi High-School

High School Diploma, Life And Earth Sciences

High School Diploma
2014 - 2014

Work History

P

Partner Lab/Afric-Phar Laboratory

R&D Laboratory Analyst

N/A
2023 - Present
G

Gazal Marketing

Market Analyst

N/A
2023 - 2023