Katherine G.

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

Project management and operational excellence

Project management (PMBOK/PRINCE2)

HR/recruitment workflows

Top Data Types

Text

Document

Top Task Types

Prompt + Response Writing (SFT)

Red Teaming

RLHF

Fine-tuning

Data Collection

Freelancer Overview

AI Integration for project lifecycle documentation using Google Gemini (Randstad Enterprise, Global Project Management A. Brings 15+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Google Gemini, but have used and am capable of in other AI tools. Education includes Prince2 Foundation Certificate, PeopleCert (2023) and Bachelor of Science, Honours, University of Roehampton. AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT), Red Teaming, and Evaluation.

Labeling Experience

AI Integration for project lifecycle documentation using Google Gemini (Randstad Enterprise, Global Project Management Associate)

TextPrompt + Response Writing (SFT)

Spearheaded internal adoption of Google Gemini to streamline end-to-end project lifecycles by generating structured prompt-based outputs. Designed targeted prompts to automate project scoping, risk logs, and weekly stakeholder status reports aligned to corporate PM frameworks. Iteratively validated prompt performance to reduce administrative effort while maintaining compliance with project planning standards. • Automated project scoping and planning artifacts via prompt design. • Generated and refined risk logs and stakeholder status report drafts. • Applied PMBOK/PRINCE2-aligned structure to prompt outputs. • Used Gemini outputs to support ongoing project documentation workflows.

2022 - Present

AI prompt evaluation for recruitment artifacts (self-directed/sandbox practice)

Text

Trained and evaluated AI outputs for HR and recruitment use cases by testing generation quality and compliance requirements. Focused on producing unbiased job descriptions, boolean search strings, and candidate communication templates. Reviewed outputs for factual soundness and alignment with recruitment best practices to mitigate errors and hallucinations. • Tested Gemini drafting of unbiased job descriptions. • Generated and validated boolean search strings for candidate sourcing. • Produced compliant candidate communication templates. • Evaluated outputs for quality and hallucination risk in HR contexts.

2020 - Present

Self-directed prompt engineering and red-teaming within Google Gemini

TextRed Teaming

Conducted self-directed red-team style prompt testing in Google Gemini to simulate project roadblocks and evaluate model adherence to PMBOK and PRINCE2 frameworks. Assessed the quality and correctness of AI-generated responses for framework compliance and operational usefulness. Iterated on prompt wording to improve consistency of outputs for project management scenarios. • Simulated project roadblocks and assessed Gemini response validity. • Evaluated outputs for adherence to PMBOK and PRINCE2 structures. • Performed iterative prompt refinement to reduce inconsistencies. • Used evaluation findings to guide better AI-assisted project documentation.

2017 - Present

Education

Work History