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Favour Presley

@favourpresley

AI evaluation specialist and data research analyst, helping organizations rigorously test and improve autonomous AI outputs.

Kenya

Message

What I'm looking for

I’m looking for a fully remote, flexible role (10–20 hours/week) where I can design real-world AI evaluation tasks—building prompts, rubrics, and verification workflows to rigorously test autonomous AI across domains like finance, sports, and research.

I’m an AI Evaluation Specialist and Data & Research Analyst with a BSc Computer Science background, bringing hands-on expertise in data research, technical writing, and multi-domain analysis across financial intelligence, sports analytics, academic research, and business intelligence. I focus on verifying information from authoritative sources and translating findings into structured, high-granularity deliverables.

In my freelance role (2022–Present) as an Independent Contractor in Nairobi (Remote), I’ve designed and delivered 150+ research briefs, while crafting structured prompts and evaluation rubrics to benchmark AI-generated content quality. I consistently maintain accuracy rates above 98% using a personal double-verification workflow for quantitative claims, and I document scoring rubrics and failure patterns with exceptional care.

I also build and assess real-world intelligence pipelines: I automated extraction and cleaning with Python to cut manual research time by 40%, contribute to high-accuracy AI dataset annotation, and supported NLP/ML evaluation research that contributed to two published conference papers. I’m motivated to contribute to frontier AI research by designing complex evaluation tasks that rigorously test autonomous AI capabilities.

Experience

Work history, roles, and key accomplishments

Current

Freelance Research Analyst

Current

Independent Contractor

Jan 2022 - Present (4 years 5 months)

Designed and delivered 150+ research briefs on financial markets, emerging technology, and competitive intelligence. Built AI prompt evaluation rubrics and conducted fact verification from primary sources, maintaining 98%+ accuracy through a double-verification workflow.

Prompt Engineering AI Evaluation Design Research & Analysis Verification Technical Writing Web Scraping Data Cleaning API Integration Information Retrieval

Data & BI Intern

Savannah Informatics

Jan 2022 - Aug 2022 (7 months)

Analyzed healthcare market data and competitor positioning to produce weekly intelligence reports for product and strategy teams. Automated extraction and cleaning of publicly available financial/regulatory data with Python, cutting manual research time by 40%.

Data Analysis Competitive Intelligence Market Research Python Data Cleaning Healthcare Analytics Data Methodology Documentation

Research Assistant (CS)

University of Nairobi

Sep 2020 - Dec 2021 (1 year 3 months)

Supported NLP/ML research and model evaluation, contributing to two published conference papers. Reviewed and annotated training datasets and conducted systematic literature reviews, producing evaluation rubrics and progress reports for benchmark assessment.

Natural Language Processing Machine Learning Model Evaluation Systematic Literature Review Reporting Google Scholar ACM Digital Library

Data Annotation Contributor

Silencio, Babel Audio, Handshake AI

Annotated text, audio, and multilingual datasets following strict project guidelines, using structured tags and validation for quality assurance. Contributed to projects that improved AI model performance in natural language understanding and speech recognition.

Data Annotation Natural Language Processing Quality Assurance Data Validation

Education

Degrees, certifications, and relevant coursework

Dedan Kimathi University of Technology

Bachelor of Science, Computer Science

2018 - 2022

Earned a BSc in Computer Science, with coursework across data structures, databases, machine learning, NLP, and research methods. Final-year project built an automated fact-verification system using NLP to retrieve, cross-reference, and score factual claims against authoritative web sources.