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About

I'm Taofeek, a software engineer who builds backend systems, APIs, and the infrastructure underneath them. I care about code that is fast, correct, and observable.

Lately I've been deep in production engineering: how the OS schedules processes, how threads behave under contention, what Linux exposes at the syscall level, and how to actually troubleshoot a system when something goes wrong in production.

I study Applied Physics, so quantum computing is a natural extension of what I'm already learning. I competed at iQuHACK 2026, built hybrid quantum-classical pipelines with CUDA-Q, and I'm working through algorithms, error models, and what near-term hardware can actually do.

Go, TypeScript, Python. Source code over documentation. First principles over frameworks.

Technologies

LanguagesGo · TypeScript · Python
BackendNode.js · Express · Fastify · Flask · NestJS
DatabasesPostgreSQL · MongoDB · Redis
InfrastructureDocker · Nginx · k6 · CI/CD
QuantumCUDA-Q · Qiskit

Experience

Nithub Backend Engineering Intern
Apr 2026 – Present
Google Developer Groups on Campus Core Team — Sponsorships
Jan 2026 – Present
MLH Production Engineering Hackathon Participant
Apr 2026
NVIDIA × MIT iQuHACK 2026 Quantum Hackathon Competitor
Jan 2026

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
  • Linux internals — how the kernel works, system calls, and what happens under the hood
  • Quantum algorithms and their applications on near-term hardware

Currently reading

  • How Linux Works — Brian Ward
  • 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.

221solved
126 easy88 medium7 hard

Contributions

1,170 this year

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