Prince Agyei Tuffour

About

Hey, I'm Prince — most people call me Nana. I'm a mathematician turned software engineer based in Austin. I love building things that help people think more clearly, whether that's a tool for debugging GPU memory or a platform connecting patients with healthcare.

I studied math through a master's at Oregon State, and that way of thinking stuck with me — I care about understanding systems deeply, not just getting them to run. These days I work in software QA at dynaConnections and spend my evenings building open-source tools in the ML/AI space.

I'm especially drawn to the intersection of low-level systems and machine learning — profiling memory, understanding how models behave under the hood, and making that knowledge accessible. I also co-founded the Akomapa Health Foundation, where I lead the tech behind Nkwapa, a patient management platform for underserved communities back home in Ghana.

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 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.