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Aliyu Dantata

Aliyu Dantata

Web Developer and AI/ML Specialist - Technology & Internet

Nigeria flagKano, Nigeria
$50.00/hrEntry LevelAws SagemakerCVATLabelbox

Key Skills

Software

AWS SageMakerAWS SageMaker
CVATCVAT
LabelboxLabelbox
Label StudioLabel Studio
RoboflowRoboflow
SuperAnnotateSuperAnnotate

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
ImageImage
TextText

Top Task Types

Action Recognition
Classification
Computer Programming Coding
Data Collection
Prompt Response Writing SFT

Freelancer Overview

I am a motivated web developer and AI/ML enthusiast with hands-on experience in building applications that handle and process data for real-world use cases. My background includes developing a patient appointment management system and a face detection application using OpenCV, where I gained practical experience working with computer vision and structured data. I am proficient in Python, JavaScript, and PHP, and have worked with databases such as MySQL, PostgreSQL, and MongoDB—giving me a strong foundation in managing, organizing, and preparing data for machine learning and AI applications. I am eager to leverage my skills in data annotation, labeling, and AI training data processes to contribute to impactful projects in the field.

Entry LevelGermanEnglishChinese Mandarin

Labeling Experience

Roboflow

Medical Image Detection for Early Disease Diagnosis Using Roboflow

RoboflowImageBounding Box
This project develops an AI system to detect medical conditions from images such as X-rays or CT scans. Using Roboflow, datasets are labeled with bounding boxes to highlight regions of interest (e.g., tumors or lesions). The annotated data trains an object detection model to assist healthcare professionals in early and accurate diagnosis, improving patient outcomes and workflow efficiency.

This project develops an AI system to detect medical conditions from images such as X-rays or CT scans. Using Roboflow, datasets are labeled with bounding boxes to highlight regions of interest (e.g., tumors or lesions). The annotated data trains an object detection model to assist healthcare professionals in early and accurate diagnosis, improving patient outcomes and workflow efficiency.

2025 - 2025

Education

Y

Yusuf Maitama Sule University

Bachelor of Science, Computer Science

Bachelor of Science
2018 - 2023

Work History

F

Freelance

Programming Tutor

Kano
2020 - Present
D

Digital Development Hub

Web Development Intern

Kano
2022 - 2022