Aondorumun I.

Key Skills

Software

Don't disclose

Top Subject Matter

Public service information systems (hospital records, school results, digital voting)

Top Data Types

Document

Top Task Types

Classification

Segmentation

Entity (NER) Classification

Object Detection

Text Generation

Question Answering

Freelancer Overview

IT/SIWES Trainee. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Science, Rev. Fr. Moses Orshio Adasu University (2025) and Ordinary National Diploma, Akperan Orshi Polytechnic (2021). AI-training focus includes data types such as Document and labeling workflows including Computer Programming and Coding.

Labeling Experience

IT/SIWES Trainee — National Commission for Refugees, Migrants and Internally Displaced Persons (October 2023–April 2024)

Don't discloseDocument

During the IT/SIWE(S) traineeship, you built application modules that automated data computation and access workflows for administrative records. While not explicitly described as labeling or annotation, the work involved preparing structured datasets and implementing logic to process and manage information captured by the systems. You also implemented a secure digital voting process, which required structuring user input and persisting records reliably. • Built a Hospital Management System to manage patient record data and workflow states • Developed a School Result Processing System to automate computation and retrieval of results • Implemented a Secure Voting System for digital voting processes • Developed relational database structures using SQL to ensure data integrity and efficiency

2023 - 2024

Education

Work History