George N.

Key Skills

Software

Appen

AWS SageMaker

Top Subject Matter

Large Language Model (LLM) dataset preparation

model evaluation

and RLHF-style tuning

Top Data Types

Text

Document

Audio

Top Task Types

RLHF

Fine-tuning

Red Teaming

Data Collection

Computer Programming/Coding

Evaluation/Rating

Text Summarization

Text Generation

Prompt + Response Writing (SFT)

Function Calling

Question Answering

Transcription

Classification

Freelancer Overview

Artificial Intelligence Engineer, AfterQuery (AI training/evaluation dataset work). Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Master of Science Engineering, Carnegie Mellon University Africa (2025) and Bachelor of Science, University of Nairobi (2015). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Artificial Intelligence Engineer, AfterQuery (AI training/evaluation dataset work)

Text

Designed and refined high-quality datasets for training and evaluating LLMs on technical reasoning and complex problem-solving tasks. Conducted rigorous evaluations of frontier AI models by identifying edge cases in model logic and applying RLHF-style techniques to improve safety and accuracy. Authored technical reports documenting assumptions, hyperparameters, and empirical findings to support reproducible research. • Dataset design and refinement for LLM training/evaluation • Model evaluation with edge-case analysis • RLHF-based improvements for model safety and accuracy • Reproducibility-focused reporting and documentation

2025 - Present

Education

Work History