AVAILABLE FOR WORK

Kiefer

I build and automate backend infrastructure — Go and Rust services, CI/CD pipelines with Dagger, and Linux/Docker systems. I run my own secure self-hosted stack and care about software that's correct, fast, and a pleasure to maintain.

Kiefer
stack.sh

$ skills --all

  • rust
  • git
  • typescript
  • go
  • linux
  • python
  • docker
  • dagger
  • postgresql
  • svelte
  • ruby-on-rails
  • c++
  • swift
01

Identity

who_am_i.sh

What I build

Backend infrastructure and developer tooling: CI/CD pipelines with Dagger, containerized builds, and Go & Rust services, plus the occasional Tauri desktop app or ML-backed web app. Strong typing and a systems-programming mindset throughout.

Education

Information & Computer Systems Diploma

Camosun College· 2023 - 2025

A 2.5-year program equivalent in scope to an Associate Degree, with emphasis on software development, databases, systems analysis, networking, and hands-on projects using industry-standard tools.

02

Tech Arsenal

stack --list

RustGoC++TypeScriptPythonSwift
03

Proficiency

skill --levels

0 🦀Rust
0 📚Git
0 📘TypeScript
0 🐹Go
04

Focus Areas

interests[]

DevOps & CI/CDBackend DevelopmentSystems ProgrammingCLI ToolingSelf-Hosting & InfrastructureGame DevelopmentExploring New TechMachine Learning
05

Experience

career --log

DevOps Engineer

Jan 2026 – Present

Sandbenders

Building CI/CD infrastructure for reproducible embedded software builds — turning manual, fragile build steps into containerized, repeatable automation.

  • Built Dagger-based CI/CD workflows for reproducible embedded builds across Yocto, Bazel, and Lingua Franca
  • Automated containerized build environments, dependency setup, artifact packaging, and publishing
  • Debugged Linux/Docker build failures and improved pipeline reliability through caching, isolation, and repeatable execution
  • Collaborated with engineering stakeholders to convert manual build requirements into maintainable CI workflows

Machine Learning Developer

Apr 2025 – Sep 2025

Swallow AI

Built a Python-based machine learning application for pest identification, supporting agricultural use cases across multiple African biomes.

  • Led a team of 4 developers to deliver the MVP 3 weeks ahead of schedule
  • Optimized the ML pipeline, improving accuracy from 72% to 87% and reducing inference time by 40%
  • Collaborated with product, marketing, and sales teams to align technical solutions with regional and environmental requirements
  • Diagnosed and resolved production issues through systematic debugging and root-cause analysis

R&D Intern

Apr 2024 – Aug 2024

RaceRocks

Developed and maintained Ruby on Rails applications within a large, production codebase as a student intern in the R&D department.

  • Developed and maintained Ruby on Rails applications within a large, production codebase
  • Contributed features and fixes through Agile workflows — sprint planning, stand-ups, and retrospectives
  • Integrated new functionality while refactoring and improving existing systems
  • Collaborated with R&D and cross-functional teams to resolve complex technical issues
06

Live Telemetry

github --stats

// fetching live telemetry…

07

Core Philosophy

echo $WISDOM

Make it work, make it right, make it fast.

LIVE
[17:31:18] SYS.BOOT :: aurum runtime online
aurum://kiefer