Firaol D.

Key Skills

Software

Other

Top Subject Matter

AI model evaluation and prompt testing

Dataset preparation

Annotation Domain Expertise

Top Data Types

Text

Computer Code Programming

Top Task Types

Data Collection

Freelancer Overview

AI Prompt Engineer | Revelo. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Addis Ababa Science and Technology University (2024). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

AI Prompt Engineer | Revelo

OtherText

Evaluated AI model outputs and created structured performance assessments to improve reliability and accuracy. Developed prompt and testing scenarios, then used results to produce actionable recommendations. Produced detailed evaluation reports for stakeholders to support iterative model improvements. • Assessed model outputs against defined criteria • Authored prompts and test cases for reliability and accuracy • Generated reports and recommendations based on evaluation outcomes • Refined evaluation processes to guide improvements

2026 - Present

AI Data Specialist and Cybersecurity Analyst - iCog Labs

You collected, cleaned, validated, and annotated data to support AI and machine learning initiatives. You evaluated AI model outputs and supported data quality improvement and deployment activities through testing and pipeline support. The role also required cybersecurity awareness, technical reporting, and collaboration with cross-functional teams. • Prepared and validated datasets for AI and ML workflows • Evaluated model outputs and contributed to data quality improvements • Assisted with cybersecurity monitoring and security reviews • Supported deployment testing for AI-driven solutions and pipelines

2022 - 2025

AI Data Specialist & Cybersecurity Analyst | iCog Labs

OtherTextData Collection

Collected, cleaned, validated, and annotated datasets for AI and machine learning projects. Evaluated AI model outputs and contributed to initiatives that improved data quality. Supported deployment and testing of AI-driven solutions and data pipelines with technical reporting for stakeholders. • Performed dataset collection and data cleaning/validation • Annotated data and supported labeling for ML projects • Evaluated model outputs to identify quality issues • Documented findings and contributed to security-aware review work

2022 - 2025

Education

Work History