About
These days that mostly means AI engineering: agents, retrieval, evaluation, and the infrastructure that keeps them honest. Before that I spent two and a half years turning satellite data into forecasts for farmers, and before that I built banking systems.
I think of myself as a seeker. I pick a domain, learn it properly, build something real in it, then move on to the next question.
Where most of my attention goes now. LLM features grounded in real data and safe to expose: retrieval and how to measure it, tool-calling agents, an MCP server that re-checks permissions on every call, and reports that still render when the model is down.
Django, FastAPI and Spring Boot services that hold up under real data: PostGIS, Celery and RabbitMQ, careful query work. I'd rather remove the 1,800 per-parcel queries than add a cache in front of them.
Work that doesn't fit on one machine: Beam/Dataflow jobs with hundreds of workers, Celery chords per field, idempotent batch submission, Pub/Sub workers on Cloud Run, caches keyed so cost stays flat as projects grow.
Pipelines that test, tag by commit and wait for the rollout before calling it done. Hashed API keys, tenant-scoped RBAC, mTLS between bank zones, rootless sandboxes for AI agents. Security is part of the design, not a final checklist.
When a product needs shipping, I do the whole thing: Next.js frontends, Postgres schemas with row-level security, auth, storage and deploys. Dawah and Yégle (first launched as DawahRepost and SenPost) are mine end to end.
Backend/GIS Consultant · Dakar
Agritech platform for crop monitoring, forecasts and climate data across West Africa. I joined as a backend developer, moved to a permanent contract after my first year, and today I'm the main author of most of the platform's services.
Java Full-Stack Developer · Dakar
Fintech and banking software for West African financial institutions.
Software Engineering Intern · Dakar
The registry for Senegal's .sn domain.
École Supérieure Polytechnique de Dakar
MSc Computer Science · 2018 — 2023
GPA 3.7 · certificates in CyberOps, Machine Learning and Deep Learning