Frankline Mukopi

Performed linguistic annotation, categorization, and relevance evaluation for AI development projects. Contributed to multilingual dataset improvement initiatives.

Provided AI training, annotation, and model evaluation services for international clients. Supported dataset refinement and validation processes for AI model training pipelines.

Engineered automated test workflows for embedded and software systems using Python and Rust. Performed vulnerability analysis and QA evaluations, and streamlined data processing pipelines to reduce manual review workloads.

Annotated and evaluated extensive multilingual datasets for machine learning and generative AI systems. Executed RLHF tasks (pairwise comparisons, response ranking, relevance assessment, and output quality evaluation) while maintaining over 98% annotation accuracy and contributing to guideline and workflow improvements.

Performed smart contract security research on a freelance basis, supporting security-focused evaluation work for AI development needs.

Conducted field data collection and verification to ensure accuracy and consistent reporting. Followed procedures to maintain data quality during collection activities.

Supported academic research by assisting with documentation and mentoring students in research methodology. Reviewed and proofread research papers and other academic documents.

Pursuing a Bachelor of Science degree in Mechatronics Engineering at Jomo Kenyatta University of Agriculture and Technology.

Completed a Bachelor of Education in Arts, later transferring focus to pursue Mechatronics Engineering.