Background
I’m Mohamed KEITA, a 32-year-old mathematician and systems-oriented data practitioner from Abidjan, Côte d’Ivoire.
I hold a bachelor’s degree in Mathematics and a master’s degree in Applied Mathematics and Statistics from Aix-Marseille University. My training is grounded in mathematical rigor, probabilistic modeling, and statistical reasoning foundations that continue to shape how I approach systems design and infrastructure.
Over the years, I’ve worked across the full data lifecycle: from ingestion and large scale processing to analytics, model deployment, backend architecture, and production systems. My work spans machine learning, distributed systems, database engineering, API design, and cloud environments.
I operate at the intersection of theory and implementation, translating structural ideas into working systems.
Direction
My work is guided by a long term question:
How can we design technological systems that are structurally aligned with African realities ?
I am particularly interested in:
- Data infrastructure in constrained environments
- Local-first and CPU-efficient system design
- Digital sovereignty and strategic autonomy
- Applied research bridging theory and engineering
Rather than focusing only on tools, I focus on architectural assumptions. The invisible design choices embedded in dominant technologies.
Professional Experience
Across industry and research contexts, I have contributed to:
- Large-scale invoice automation, analytics pipelines, and ERP migrations in the healthcare sector
- Real-time machine learning systems and production model deployment
- NLP-driven chatbot systems using RAG architectures and LLM orchestration
- Matching and recommendation systems in the mobility and travel sector
- Large-scale patent analysis and text mining on PATSTAT datasets in academic research
This experience across domains informs my current work on infrastructure and system level thinking.
During my time at Skema Business School (KTO Lab), I conducted research on artificial intelligence and large-scale text mining, contributing to academic publications and policy-oriented reports.
Publications are available here
Data Afrique Hub
I co-founded Data Afrique Hub, an initiative dedicated to strengthening data literacy and technical capacity across Africa.
Through competitions, open platforms, mentorship, and technical programs, we aim to build a collaborative ecosystem where young professionals can develop strong foundations in data science, engineering, and applied AI.
The long-term objective is not only skill transfer but also structural empowerment through technical competence.