Nasiru Khalid Shuaib

Conduct RLHF, prompt evaluation, and fine-tuning for LLMs, annotating and validating AI outputs to improve safety, factuality, and coherence across large-scale model alignment projects.

Performed linguistic annotation and QA for English and Hausa datasets, conducted error analysis and span-level tagging, and supported NLP pipelines with prompt engineering and Hugging Face tools.

Manage vendor and customer relationships across 2,500+ sites, develop data-driven reports to optimize asset utilization, and implement cost-saving material vetting and lifecycle management initiatives.

Led a team of 5 engineers overseeing vendor management and field operations, implemented predictive analytics for diesel and asset tracking, and reduced reporting discrepancies to improve SLA compliance.

Performed predictive network performance monitoring and audits, trained vendor field teams on maintenance standards, and executed interventions that reduced downtime across the cluster.

Engaged as an independent contractor for LLM training, RLHF, and AI evaluation beginning in 2024.

Undertook language data annotation, QA, and validation work for AI/ML datasets (English & Hausa) starting in 2023.

Completed Google Foundations of Project Management in 2022 and a Python for Data Science and AI course in 2025.

Completed a short executive course in Business Strategy & Foresight in 2023.

Completed Agile and Waterfall project management training courses in 2023.

Completed Telecoms Power Management training in 2017.

Completed a Bachelor of Engineering (Honours) in Electrical and Electronics Engineering, graduating in 2015.