Open to opportunities

Brayan Murangiri

@brayanmurangiri

Message

Detail-oriented AI Data Engineer specializing in LLM prompt engineering and data annotation.

Kenya

Message

What I'm looking for

I seek project-based or full-time roles focused on LLM prompt engineering, data annotation, and QA within collaborative, fast-paced AI teams offering growth and clear quality standards.

I am a detail-oriented AI Data Engineer with hands-on experience in LLM prompt engineering, data annotation, QA validation, and AI model evaluation. I have a BSc in Computer Science and practical training from ALX and Power Learn Project Africa, where I built data-driven applications and learned applied machine learning concepts.

I design and refine structured prompts, prepare high-quality datasets for NLP and LLM training, and perform thorough QA on model outputs to identify hallucinations and ambiguity. I collaborate effectively with distributed teams, document processes, and am comfortable working in fast-paced, ambiguous AI workflows with strong attention to detail.

Experience

Work history, roles, and key accomplishments

AI Data Engineer

Freelance

Designed and refined prompts for LLM training, annotated and validated datasets for NLP tasks, and performed QA and evaluation to identify hallucinations and improve model outputs.

Prompt Engineering Data Annotation & QA Python Pandas NumPy SQL GitHub

Full-Stack Developer (Training)

Power Learn Project Africa

Built data-driven applications using Python and JavaScript as part of a full-stack program, applying structured debugging and problem-solving relevant to AI workflows.

Python JavaScript Debugging Data Driven Development Git APIs Problem Solving

BSc Computer Science

Meru University of Science and Technology

Completed a Bachelor of Science in Computer Science with coursework relevant to software development, data structures, and algorithms.

Computer Science Algorithms Data Structures Software Development Technical Writing

AI Program Participant

ALX Africa

Completed foundational AI training covering AI systems, data pipelines, LLM exposure, and evaluation methods with emphasis on ethical and scalable data practices.

Data Pipelines Model Evaluation LLM Documentation