Brain Aboze
Aboze Brain John is the founder of KOVR, an early-stage healthtech venture building a privacy-first, AI-assisted nicotine reduction system that integrates IoT hardware, a mobile app, and embedded ethical AI guardrails.
He previously worked as a Developer Advocate at a London-based formal verification and AI safety startup, and as a Data Scientist across financial services, spanning credit, insurance, and community-focused initiatives.
He is an avid technical writer with a strong interest in data science, AI systems, engineering, and building within regulated environments.
Session
A snapped fridge handle. A missing washing-machine knob. A bracket that broke off your scooter. The replacement part costs three pounds and ships in two weeks, or you throw the whole thing away.
This talk is about teaching Python to fix it instead.
This talk walks through an open-source Python pipeline that takes a photo of a broken object and produces a 3D-printable patch automatically. Seven specialised agents handle calibration, segmentation, measurement, thickness estimation, mesh generation, validation, and printing. Each agent runs multiple competing computer-vision strategies, then uses an LLM to choose the most trustworthy result through a consensus protocol. The validated mesh streams straight to a BambuLab printer over MQTT, and a finished patch comes off the bed by the time the talk ends.
The whole system is built on Python, using frameworks such as FastAPI, OpenCV, Shapely, trimesh, SAM, Depth Anything, and a Three.js front end, plus an LLM acting as the decision engine inside every agent. You'll see how far Python's ecosystem reaches when the output has to obey physics, and where the interesting failures live.