Mateo Shija
AI & Data Specialist
Practical AI solutions for businesses in Tanzania, East Africa and beyond.
These are the core areas where I work — each one practical, deliverable, and built for organizations ready to move with AI.
Strategic AI consulting, readiness assessments, and hands-on workshops for teams — delivered in English and Swahili. I help organizations understand AI, identify where it fits, and build internal capacity to use it confidently.
Turning raw organizational data into structured, usable intelligence. From cleaning and organizing datasets to building automated data pipelines and generating AI-powered reports — I help organizations make their data work for them.
Building practical AI systems tailored to your organization — from RAG-powered knowledge chatbots that answer from your own documents, to AI agents, automation workflows, and custom-trained models. Deployable on your website, WhatsApp, or internal portals.
Professional AI-ready dataset creation across text, audio, and image modalities. With specialist expertise in English–Swahili bilingual and code-switching data — critical for AI systems built for East African contexts. Rigorous QC throughout.
Alongside his technical work, Mateo creates practical AI and business growth resources through MS Clarity Catalyst — a growing library of digital tools for coaches, leaders, and solopreneurs who want to use AI to work smarter and build with more clarity.
Visit MS Clarity Catalyst →Practical guides to use AI in your daily work
Templates and frameworks for smarter building
Built for coaches, leaders & solopreneurs
Work smarter with AI — without the overwhelm
With over two decades of ICT experience and a focused specialization in AI, Mateo brings a rare combination — the systems thinking of an infrastructure professional with the precision of an AI data specialist.
Based in Dar es Salaam, Tanzania, he helps organizations across East Africa and globally adopt practical, affordable AI solutions.
Read Full Profile →A snapshot of AI and data projects delivered for real-world organizations.
Built a Retrieval-Augmented Generation system allowing an organization to query internal knowledge bases via natural language.
Designed and executed a full multimodal annotation workflow for English–Swahili code-switching NLP dataset.