Skip to content

/

Nixon Thuo

role:
software engineer
focus:
backend, full-stack, infrastructure
email:
thuonixon808@gmail.com
linkedin:
in/nixon-thuo
github:
NixonThuo

about.md

I work across backend development, frontend applications, infrastructure, automation, and hardware experiments. I like understanding how things work—and then making them work better.

I work on enterprise software. I build backend systems and full-stack applications. I enjoy infrastructure, automation, and hardware experimentation.

skills.md

  • Backend:Python · Flask · Django · FastAPI · C#
  • Frontend:JavaScript · React · Next.js
  • Data:PostgreSQL · MongoDB
  • Infrastructure:Linux · Nginx · reverse proxies · VPNs · networking
  • Automation:GitHub workflows · repository automation · AI-assisted development · code auditing
  • Intelligent systems:Machine learning · business rules · process automation
  • Hardware:Arduino · IoT · hardware-software integration · biometric devices · solar technology experimentation
  • Engineering:System design · architecture · debugging · technical leadership · mentoring · production support

building.md

  • APIs that do more than return “Hello World.”
  • Systems that turn complicated workflows into simple screens.
  • Automation that removes repetitive work.
  • Infrastructure that quietly keeps everything running.
  • Hardware prototypes that may or may not become products.
  • Small tools that solve annoying problems.

play.md

./this-button-definitely-works

supervised.py

Supervised learning: learn a mapping from labelled examples, then predict the label for a new x. Two jobs, one idea.

regression

predict a number: f(size) → price

f(x) = wx + b

output: any number on a continuous scale.

classification

predict a class: f(size, age) → label

boundary
  • benign
  • malignant

output: one label from a small fixed set.

cheat

contact.md

If you want to talk about systems, debugging, or a stubborn piece of hardware, these are the usual doors.