About
I'm Taofeek, a software engineer who builds backend systems, APIs, and infrastructure tools. I care about writing code that is fast, correct, and easy to reason about. Not just code that works.
I'm drawn to system design: how components talk to each other, where bottlenecks live, what breaks under load and why. Getting that right from the start is more interesting to me than moving fast and patching later.
I study Applied Physics, so quantum computing is a natural extension of what I'm already learning rather than a side interest. I competed at iQuHACK 2026, built hybrid quantum-classical pipelines with CUDA-Q, and I'm working through the theory: algorithms, error models, how near-term hardware actually behaves. Computational physics and simulation are where that curiosity lives day to day — translating physical systems into code and watching them behave.
I write mostly TypeScript, Python, and Go. I read source code more than documentation. First principles over frameworks.
Technologies
Experience
Currently excited about
- →Production engineering — reliability, observability, and systems that hold under real load
- →Docker, containers, and the infrastructure layer
- →Systems design and distributed architecture at scale
- →Understanding quantum error models beyond the textbook version
- →The gap between quantum theory and what near-term hardware can actually do
Currently reading
- →Designing Data-Intensive Applications — Martin Kleppmann
- →Quantum Computation and Quantum Information — Nielsen & Chuang
- →System Design Interview — Alex Xu
- →High Performance Browser Networking — Ilya Grigorik
- →Operating Systems: Three Easy Pieces — Remzi Arpaci-Dusseau
- →REST API Design Rulebook — Mark Massé
LeetCode
I enjoy solving problems — it keeps algorithmic thinking sharp and is genuinely fun once you stop treating it as a chore.
Contributions
799 this yearConnect