Next Generation of Tech Giants today wrapped its 10-Day AI/ML & Agentic Systems Sprint — an intensive, build-focused program in which Giants shipped more than 20 projects across AI/ML engineering, retrieval-augmented generation, agents, and deployment.
Run over ten days of roughly 12-hour build sessions, the sprint pushed participants from notebooks to production. Early days focused on MLOps fundamentals; later days escalated into agentic and retrieval systems, with every build measured on real metrics rather than a demo that merely runs.
This is what a four-year investment in a Giant looks like in miniature. Ten days, real systems, real metrics — and a group of young engineers who now know they can ship.
Ransford Oppong, Co-Founder, nGOT Giants
What Giants Built
- 1.
Containerised ETA Prediction Service
MLOps · Deployment
A production-grade prediction service using Poetry, Pydantic V2, Docker, MLflow, and gradient-boosting and random-forest models — reproducible from experiment to container.
- 2.
Medical-Literature RAG System
Retrieval-Augmented Generation
Document ingestion, chunking, embeddings, and vector retrieval wired behind a FastAPI service with a Pinecone vector store — evaluated on retrieval precision and latency.
- 3.
Agentic Workflows
Autonomous Agents
Task-planning agents that call tools and chain steps, with guardrails — a foundation for the community's ongoing agentic-systems research.
People assume African students need permission to work on hard problems. We just hand them the problem — and the support to solve it.
A 2026 Sprint participant
The sprint is one part of nGOT Giants' broader model, which pairs development and research sprints with weekly Giants Sessions, fellowships, job simulations, international conferences, and startup programs — a pipeline designed to make young African technologists globally competitive.
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