For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
A
Abdurrahman A.

Abdurrahman A.

Backend Developer & Data Automation Analyst

Nigeria flagAbuja, Nigeria

Key Skills

Software

ArgillaArgilla
AWS SageMakerAWS SageMaker
Anno-MageAnno-Mage
AppenAppen

Top Subject Matter

General data for ML model training and automation pipelines
Medical/Healthcare records for clinical informatics and ML

Top Data Types

TextText
DocumentDocument

Top Task Types

ClassificationClassification

Freelancer Overview

Backend Developer & Data Automation Analyst. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Uganda Islamic University. AI-training focus includes data types such as Text and Document and labeling workflows including Classification.

Labeling Experience

Backend Developer & Data Automation Analyst

TextTextClassificationClassification

As a Backend Developer & Data Automation Analyst, I performed data annotation, labeling, and classification on both structured and unstructured datasets for machine learning projects. I maintained annotation benchmarks and quality control through iterative review cycles while building and automating validation pipelines. My role ensured the integrity and enrichment of data delivered for downstream AI/ML tasks. • Annotated and labeled both text and structured records for ML model training. • Built and maintained automated data validation and enrichment workflows. • Conducted thorough quality control checks on labeled data. • Supported annotation QA by collaborating with remote cross-functional teams.

2023 - 2024

Data Annotation Specialist – MediCore HMS Project

DocumentDocumentClassificationClassification

On the MediCore Hospital Management System project, I annotated and labeled over 10,000 patient records to build structured enrichment pipelines for ML classification. I implemented automated data validation and audit logs to support accurate annotations throughout the process. My work enabled downstream machine learning applications by supplying high-quality medical document datasets. • Completed structured annotation and enrichment of medical record documents. • Implemented quality control and tool-based validation for annotation accuracy. • Worked with backend systems in Django REST Framework and PostgreSQL. • Ensured comprehensive documentation in compliance with clinical data standards.

2021 - 2023

Education

U

Uganda Islamic University

Bachelor of Science, Information Technology

Bachelor of Science
Not specified

Work History

T

Tolo'lus Global Resources Limited

Product Manager

Abuja
2021 - 2023