Giddel W.

Key Skills

Software

Don't disclose

Other

CVAT

Label Studio

Top Subject Matter

AI agents

Rlhf/evaluation Domain Expertise

code/content quality

Top Data Types

Text

Document

Computer Code Programming

Top Task Types

Computer Programming/Coding

Classification

Text Summarization

Question Answering

Freelancer Overview

AI Systems — Prompt Engineering & Evaluation (Self-Directed). Brings 6+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Don't disclose and Other. Education includes Bachelor of Science, University of Port Harcourt (2026). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Computer Programming.

Labeling Experience

Freelance — Web Application Penetration Tester (structured reporting)

OtherText

Conducted systematic security assessments and produced structured, CVSS-ranked findings that function as labeled/annotated reports. Classified and documented application behaviors with consistent terminology and detail-oriented evaluation criteria. Produced methodical outputs intended for downstream review and quality assurance. • Rated findings using CVSS and standardized scoring logic • Organized findings with precise, structured language • Evaluated application behavior to identify inconsistencies and edge cases • Produced documentation suitable for structured labeling/quality review

2024 - Present

AI Systems — Prompt Engineering & Evaluation (Self-Directed)

Don't discloseText

Evaluated AI-generated code and content for accuracy, coherence, instruction-following, and safety in production-facing AI systems. Applied RLHF-style output evaluation and ranking to help improve agent performance and reliability. Produced consistent quality assessments that support downstream agent behaviors and edge-case handling. • Reviewed and rated model responses against task requirements • Assessed factual accuracy, safety, and consistency of outputs • Evaluated instruction-following and coherence of generated content • Iterated prompt outputs to refine agent behavior and reduce failures

2023 - Present

Independent Contractor — Full-Stack Developer (AI/annotation-adjacent)

Other

Performed code review and logic verification to support structured code annotation and quality evaluation workflows. Wrote and maintained structured technical documentation and reports that mirror the consistency required for labeled datasets and annotated outputs. Focused on edge cases, performance issues, and correctness to ensure evaluable artifacts meet client requirements. • Reviewed and debugged code relevant to evaluation and annotation tasks • Documented logic findings and structured reports for clear labeling outputs • Checked for security and correctness issues during evaluation • Produced written communication suitable for dataset/annotation-style instructions

2021 - Present

Education

Work History