About
Biography
Software engineer and applied mathematician with 7+ years building production software, data systems, and AI-driven workflows across West Africa and international teams.
Idriss Olivier Bado works at the intersection of software engineering, applied mathematics, data science, and institutional AI. He designs backend systems, full-stack products, analytics platforms, and ML workflows that are grounded in rigor, maintainability, and operational reliability. His experience spans public-sector software, mobile-money systems, industrial data infrastructure, and research-driven analytics.
Research interests
Number Theory
Arithmetic structure, modular identities, and analytic methods that connect classical number theory to computational modeling.
Topology and Geometry
Geometric invariants and topological structures that reveal continuity, shape, and stability in complex systems.
Topological Data Analysis
Persistent homology and geometric summaries for feature extraction from complex data ecosystems.
Probability & Statistics
Statistical inference, summarization, and probabilistic modeling for uncertain, high-dimensional systems.
Machine Learning
Statistical learning and predictive modeling with a focus on structure-aware, explainable, and rigorous systems.
Data Engineering
Data pipelines, platform design, and scalable systems for reliable scientific and operational analytics.
Artificial Intelligence
AI methods grounded in mathematical structure, reliability, and scientifically interpretable outputs.
Professional timeline
Development of mathematical research, technical writing, and applied AI/data engineering projects.
Work at the boundary of mathematics, software implementation, and analytical modeling for complex systems.