Highly accomplished AI Trainer, LLM Specialist, and Data Annotation Expert with 3+ years of professional experience contributing to frontier model training pipelines at TELUS International, Mindrift, and CloudFactory - delivering expert-level prompt engineering, RLHF preference ranking, AI content evaluation, safety & bias detection, data annotation across text, image, audio and video modalities, NER handling, PII identification, and quality review across high-volume annotation projects with 98% QA compliance.
Full-spectrum technical domain authority spanning Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Large Language Models, Natural Language Processing, Computer Vision, Reinforcement Learning from Human Feedback, Data Science, Software Engineering, Computer Architecture, Distributed Systems, Operating Systems, Theory of Computation, Web Development, Mobile Development, DevOps & Cloud, and UI/UX Design - enabling credible senior-level annotation and evaluation contributions across every major AI training project domain.
Expert-rated across all core annotation competencies: Prompt Writing, AI Content Evaluation, Content Ranking & Scoring, Fact-Checking, Safety & Bias Detection, Creative Writing, Genre & Style Adaptation, Precision & Consistency, Instructional Writing, Cultural Context Awareness, PII Handling, NER Handling, Instruction Following, Edge Case Resolution, Remote Team Coordination, Linguistic QA, Feedback Delivery, Document Quality Annotation, and Content Taxonomy & Tagging.
B.Sc. Computer Science (University of Nairobi, 2025), certified in Machine Learning, NLP, Prompt Engineering, and AI Ethics - bilingual in English (C2 / native-like) and Swahili (Native) with the independent work discipline, technical depth, and quality consistency that define top-performing AI data contributors in competitive global annotation and LLM training markets.