IEEE Tech Ignite Summer School 2026
Participated in the IEEE Tech Ignite Summer School 2026 at Strathmore University, Nairobi, delivering a comprehensive session on Beyond the Notebook: Architecting Context-Aware AI Systems for Real-World Impact.
Session: Beyond the Notebook: Architecting Context-Aware AI Systems for Real-World Impact
In 1936, Alan Turing mathematically proved the Halting Problem: no single, universal algorithm can predict or solve every open-ended computation.
Today, in 2026, the tech industry is obsessed with building massive, all-knowing general models. But when you drop a raw, unbounded LLM into a production environment, you run straight into those computational limits: hallucinations, unverifiable outputs, and high token costs.
The secret to real-world AI engineering isn't trying to make models infinitely general. It's narrowing the problem space. Instead of forcing an LLM to hallucinate from broad general weights, we give it bounded, verifiable context right when it needs it.
That is the foundation of Retrieval-Augmented Generation (RAG)—and over the next two hours, we are moving 'Beyond the Notebook' to build DocEngine AI Core.
Codebase: https://github.com/bethwel3001/DocEngine
Resources
- DocEngine Codebase on GitHub — Core repository for the DocEngine context-aware AI retrieval engine.
- Sessionize Speaker Profile — Upcoming and past conference presentations by Bethwel Kiplagat.
- IEEE Strathmore Student Branch — Community updates and workshop archives from Strathmore University's IEEE branch.
Technologies
- • RAG Architecture
- • Vector Databases
- • Python
- • FastAPI
- • Google Gemini API
- • TypeScript
- • Next.js 15
- • Tailwind CSS