Chizie F.

Key Skills

Software

No software listed

Top Subject Matter

AI testing and dataset creation for model evaluation

AI testing datasets and evaluation pipelines

LLM evaluation and AI red-teaming challenges

Top Data Types

Text

Top Task Types

Data Collection

Red Teaming

Freelancer Overview

Data Engineer — Algora, Public Benefit Corporation (Remote). Brings 14+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Osun State University (2021). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Data Collection, Evaluation, and Rating.

Labeling Experience

Data Engineer — Algora, Public Benefit Corporation (Remote)

Data Collection

Created mergeable, production-grade solutions for bountified GitHub projects, supporting AI-related dataset and evaluation workflows. Focused on implementing Python and JavaScript/TypeScript components to enable reliable data preparation and model testing. Worked on engineering tasks that directly support AI testing and dataset creation for evaluation purposes. • Built dataset- and test-support tooling within production-grade mergeable solutions • Implemented pipelines in Python, JavaScript, and TypeScript • Supported bountified GitHub project requirements for AI testing • Ensured code quality for reliable production readiness

2026 - Present

Data Engineer — Shipd (San Francisco, CA / Remote)

Created high-quality datasets designed to stress-test AI model strengths and weaknesses. Developed comprehensive data pipelines to ensure reliability and production readiness for AI evaluation. Delivered engineering work that supports systematic AI testing and dataset quality. • Engineered datasets specifically for stress-testing AI models • Built and maintained production-ready data pipelines • Ensured dataset reliability for model evaluation use cases • Implemented dataset preparation workflows in Python and TypeScript

2024 - Present

Data Engineer — Ctrl+G (San Francisco, CA / Remote)

Red Teaming

Engineered AI testing challenges aimed at exposing weaknesses in LLM performance. Designed evaluation-focused tasks to assess how models respond under targeted conditions. Implemented TypeScript/JavaScript/C++ solutions to support LLM testing workflows. • Created high-end AI testing challenges targeting LLM weakness discovery • Supported evaluation scenarios for measuring model performance gaps • Implemented testing tooling using TypeScript, JavaScript, and C++ • Focused on performance evaluation and red-teaming style assessment

2025 - 2025

Education

Work History