Amos Baraka

BSc Computer Science graduate with hands-on expertise in data research, technical writing, and multi-domain analysis spanning financial intelligence, sports analytics, academic research, and business intelligence. Proven ability to verify information from authoritative sources, craft high-quality prompts and structured evaluation scenarios, and document findings with exceptional granularity. Highly self-directed with strong English communication skills and a track record of producing accurate, well-formatted content under independent, remote work conditions.

Eager to contribute to frontier AI research by designing complex, real-world evaluation tasks that rigorously test autonomous AI capabilities.

Freelance Research Analyst & Technical Writer at Independent Contractor (2022-01 – Present)

• Designed and delivered over 150 research briefs covering financial markets, emerging technology, and competitive intelligence for clients across Africa and Europe.
• Crafted structured prompts and evaluation rubrics to benchmark AI-generated content quality, identifying accuracy gaps and formatting inconsistencies with granular documentation.
• Verified facts and figures from authoritative primary sources including SEC EDGAR, USPTO, World Bank open data, and peer-reviewed academic journals.
• Produced domain-specific reports in Sports Analytics (EPL, NBA statistics) and Business Intelligence (competitive landscape mapping for three fintech startups).
• Maintained accuracy rates above 98% across client deliverables by implementing a personal double-verification workflow for all quantitative claims.

Data & Business Intelligence Intern at Savannah Informatics (2022-01 – 2022-08)

• Analysed healthcare market data and competitor positioning, producing weekly intelligence reports consumed by the product and strategy teams.
• Built Python scripts to automate extraction and cleaning of publicly available financial and regulatory data, reducing manual research time by 40%.
• Documented data findings with structured write-ups including methodology, source attribution, confidence levels, and recommended next steps.
• Collaborated cross-functionally with software engineers and clinicians, demonstrating the ability to translate technical findings for diverse audiences.

Data Annotation & AI Training Contributor at Silencio, Babel Audio, Handshake AI

• Annotated text, audio, and multilingual datasets with high accuracy, following strict project guidelines.
• Applied structured tags and validated annotations for quality assurance.
• Collaborated on projects that improved AI models' performance in natural language understanding and speech recognition.

Research Assistant — Computer Science Department at University of Nairobi (2020-09 – 2021-12)

• Supported academic research on natural language processing and machine learning model evaluation, contributing to two published conference papers.
• Reviewed and annotated datasets for model training tasks, ensuring quality and consistency across thousands of labelled samples.
• Conducted systematic literature reviews using Google Scholar, IEEE Xplore, and ACM Digital Library, synthesising findings into structured summaries.
• Prepared detailed progress reports and evaluation rubrics used by the principal investigator to assess model performance against real-world benchmarks.

BSc in Computer Science – Dedan Kimathi University (2018-01 – 2022-12)