Hi👋🏿, I'm Blessed
Software engineer and researcher. I study how to keep AI-powered data systems correct as data, definitions, access rules and tools change, and what that costs.
Current: a preprint on what agent traces hide, a study of whether AI agents know when they cannot see all the data, and Sedge, a data operating system in development.
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Papers in journals, conferences and on arXiv.
Performance Anomaly Detection in Athletics: A Benchmarking System with Visual Analytics [ArXiv]
Published*Blessed Madukoma, Prasenjit Mitra
13th IEEE Swiss Conference on Data Science and AI (SDS2026) · Zurich, Switzerland · May 06-07 2026.
Benchmarked eight statistical, ML and Bayesian methods over 1.6 million athletics performances from more than 19,000 competitions, using confirmed sanctions as partial labels. The platform links each flag to supporting records so investigators can examine the evidence; a flag is a lead, not a verdict. The full paper received Honorable Mention - Best Paper Award at IEEE SDS 2026. The live platform has since expanded to 14 methods.
Unmasking COVID-19 Vulnerability in Nigeria: Mapping Risks Beyond Urban Hotspots [ArXiv]
PublishedSheila Wafula, *Blessed Madukoma
Women in Machine Learning Workshop @ NeurIPS 2025 · San Diego, California, United States · Dec 01 2025.
This study investigates COVID-19 vulnerability across Nigeria, moving beyond traditional urban-focused analyses to map risks in diverse geographic contexts. The research identifies key socioeconomic and health infrastructure factors that contribute to vulnerability patterns, providing insights for targeted public health interventions across both urban and rural areas.
Have a wonderful Friday 🚀
