Prince Agyei Tuffour

About

Hey, I’m Prince, though most people call me Nana. By day I’m a software QA engineer in Austin. By night I build open-source tools for ML, and I run the tech for a health nonprofit back home in Ghana.

Lately I’m deep in GPU memory, ML systems, and the quiet art of proving that software works. Off the clock: soccer, tennis, pickleball, chess, and a bass guitar that is slowly forgiving me.

On my mind

GPU memory
ML systems
Evals & testing
Open source
Health tech for Ghana
Learning by building

Experience

Education

M.S. Mathematics · Oregon State University

2023

B.S. Mathematics · KNUST, Ghana

2020

Selected work

all projects

Noetherkin

Agent-agnostic apprenticeship protocol and CLI for learning engineering inside real codebases

TypeScriptNode.jsCLIAgent Skills2026

Stormlog

GPU memory profiling for PyTorch & TensorFlow

PyPI →Leaks Lab →

PythonPyTorchTextual2025

RegexLens

Interactive regex debugger with real-time visualization

Next.jsTypeScriptReact2025

Nkwapa

Offline-first EMR for hypertension and diabetes programs

ReactNode.jsPostgreSQL2024

Akomapa Academy

Global health education and leadership for student clinicians

Next.jsTypeScriptReact2026

Writing

all posts

What Stormlog Is, How It Works, and Why We’re Building It

30 min read

A visual guide to GPU memory profiling, telemetry, diagnostics, artifacts, distributed workloads, and inference profiling, written against Stormlog v0.4.0.

What If Learning Software Engineering Felt Like Joining a Real Team?

24 min read

Watching someone build software is not the same as learning how to work inside software. I started building noetherkin to make learning engineering feel more like joining a real team. Updated for noetherkin's current CLI and skills architecture.

NoetherKin: Architecture Notes, Part 2 — Skills, Catalog, and What's Actually Built

9 min read

Part 2 of 2. The 21 portable Agent Skills, the 34-track/87-project/7-forge catalog, a worked task from assignment to evidence with real CLI commands, the safety boundaries the CLI enforces, and an honest accounting of what's shipped.

NoetherKin: Architecture Notes, Part 1 — Protocol, CLI, and Workspace

10 min read

Part 1 of 2. NoetherKin's structure changed a lot since the first draft of this piece: it's now a released CLI, a trusted single writer, and twelve closed schemas, not a folder of intentions. Workspace layout, install flow, and the protocol's state model.

What I Learned Profiling PyTorch Memory Leaks Across Two Backends

15 min read

Eight leak patterns on MPS and CUDA — CUDA dampens leak signals but does not hide them, and the bugs that matter show up everywhere.

Diagnosing a PyTorch Memory Leak on Apple MPS

2 min read

How Stormlog helped us find and fix a subtle GPU memory leak that only appeared on Apple Silicon.

I Helped Build a GPU Memory Profiler. Then I Had to Learn What GPU Memory Actually Is.

8 min read

Walking through the Stormlog tutorial after shipping the tool — from PyTorch counters to a deliberate leak, OOM evidence, and the fix.

OOM Flight Recorder Ring-Buffer: Deep Dive

11 min read

Why a ring-buffer flight recorder for GPU OOM fills a gap PyTorch snapshots and NCCL tracing do not — temporal context, automatic dumps, and structured artifacts.