About me

A Burundian ML & AI Engineer based in South Korea, studying Smart Computing at Kyungdong University (KDU Global) — working at the intersection of applied AI, systems thinking, and civic innovation.

My work spans from deep learning experiments to full-stack platforms designed to serve communities. On one side, I focus on building real-world products that leverage existing trained models through APIs — turning AI capabilities into tangible, accessible tools. On the other, I pursue a deeper understanding of what happens beneath the surface — how models learn, how they reason, and how their outputs can be interpreted and trusted.

This dual focus shapes everything I build: systems that are not just functional, but grounded in how the technology actually works.

Recent work includes MGM Assist, a civic intelligence platform built during a GenAI Academy hackathon. Details and demos live on the Projects page.

Beyond shipping, I keep returning to a few questions:

• How AI can serve underrepresented communities without reducing them to edge cases
• The gap between model fundamentals and field deployment
• Products people actually revisit
• Learning quickly from both wins and dead ends

I am actively collaborating with founders, civic leaders, and researchers who care about measurable impact.

Outside of code: reading on compound systems, exploring South Korea, and sketching the next problem worth a deep build.

If you are working on civic AI, migrant economic integration, or trustworthy decision systems, I would like to hear from you.