Chukwuebuka F.

Key Skills

Freelancer Overview

Results-driven GenAI professional and multilingual specialist with over a decade of cross-sector experience spanning government administration, logistics operations, quality control, and AI data evaluation. A native speaker of English and Igbo — one of Africa's most widely spoken but underrepresented languages in AI training datasets — bringing rare and high-demand linguistic capability to LLM and VLM evaluation, SFT annotation, and multilingual model alignment projects. Academically grounded in scientific research methodology through a Bachelor of Science in Agriculture (Second Class Honours, Upper Division) from the University of Nigeria and an ongoing Master's degree at the Czech University of Life Sciences, Prague, Francis applies rigorous analytical thinking and hypothesis-driven problem-solving directly to AI model assessment — identifying hallucinations, evaluating factual accuracy, and producing high-quality prompt-response pairs across specialist knowledge domains. Professionally, his experience at Amazon, combined with prior roles in logistics coordination and government transport operations, has sharpened his ability to work within structured, high-volume, data-driven environments — precisely the discipline required for consistent, scalable annotation and evaluation work. His cybersecurity training further supports responsible AI evaluation, including safety assessment and red-teaming. Proficient in SQL, Power BI, Microsoft Office Suite, Salesforce, and JIRA, and comfortable across Windows, macOS, and Linux environments, Francis bridges the gap between technical tooling and human-centred language understanding — making him a uniquely versatile contributor to any GenAI team focused on quality, diversity, and real-world language performance.