Freelancer Overview
Freelance AI Data Contributor — Swahili Annotation & Transcription (Independent / Remote). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other.
AI-training focus includes data types such as Audio and Text and labeling workflows including Transcription and RLHF.
I am building a strong foundation in software engineering, data structures, algorithms, database systems, object-oriented design, and networking. My most substantial work experience comes from leading the development of HERMAN, a full-stack AI-powered customer support chatbot built for Urban Hype KE, a real Nairobi fashion retailer, where I was responsible for the Java backend, MySQL database architecture, data modeling, system documentation, and AI response quality evaluation across hundreds of iterative test cycles. On the spreadsheet and data side, I have built Excel models using advanced formulas including INDEX/MATCH, XLOOKUP, and dynamic arrays, designed Power Query transformation pipelines to clean and restructure large datasets, developed VBA macros that automated repetitive reporting workflows, and created pivot table dashboards for business stakeholders — complemented by Python automation skills using openpyxl, pandas, and xlwings for programmatic spreadsheet generation and large-dataset processing. Beyond Excel, I have deep hands-on experience with AI systems and training data workflows, having independently evaluated and benchmarked outputs from multiple large language models including Gemma 4 and LLaMA variants using LM Studio and Ollama, and built OMNISCIENT, an autonomous AI knowledge agent using React and the Anthropic API, designed to systematically assess and document the accuracy, fluency, and reliability of AI-generated content. I bring strong attention to detail, a disciplined approach to documenting assumptions and methodology, the ability to work independently and deliver asynchronously under time constraints, and a genuine passion for solving complex, real-world data problems.
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RLHF