Zakaria Mairy

Key Skills

Software

Diffgram

Google Cloud Vertex AI

Labelbox

Roboflow

Scale AI

SuperAnnotate

Supervisely

CVAT

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Image

Top Task Types

Classification

Computer Programming Coding

Data Collection

Text Generation

Translation Localization

Freelancer Overview

I am a Software Engineering student with hands-on experience in AI and data-driven projects, including building an OCR-based detection system for shipping containers and developing a machine learning model for disease prediction. These projects gave me solid exposure to data preprocessing, annotation, and evaluation using tools like Python, Pandas, Scikit-learn, and OpenCV.

Labeling Experience

Container Number Detection – Image Data Annotation

CVATImageBounding BoxClassification

Annotated a dataset of shipping container images to train an OCR-based detection model. Tasks included drawing bounding boxes around container IDs, classifying valid vs. invalid detections, and ensuring annotation consistency. The project involved more than 5,000 images, with strict quality reviews and cross-checking for accuracy above 95%.

Annotated a dataset of shipping container images to train an OCR-based detection model. Tasks included drawing bounding boxes around container IDs, classifying valid vs. invalid detections, and ensuring annotation consistency. The project involved more than 5,000 images, with strict quality reviews and cross-checking for accuracy above 95%.

2025 - 2025

Healthcare Data Labeling – Disease Prediction Project

Label StudioTextEntity Ner Classification

Worked on preparing and labeling patient health records to develop a disease classification model. Extracted key entities (age, symptoms, medical history) and labeled datasets for supervised learning. Focused on clean preprocessing, anonymization, and correct mapping to medical conditions to achieve reliable model training.

Worked on preparing and labeling patient health records to develop a disease classification model. Extracted key entities (age, symptoms, medical history) and labeled datasets for supervised learning. Focused on clean preprocessing, anonymization, and correct mapping to medical conditions to achieve reliable model training.

2024 - 2024

Education

Work History