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Building the Future of ML Infrastructure

MLOps Engineer I β€’Build engineering foundation: Cloud + Data + ML basics

Phase 1/4
Cloud
25%
DevOps
40%
MLOps
20%
0+
Years Exp
0
Skills
0
Projects
GitHub Activity
@ambooka
Repositories
36repos
Stars Earned
1total
Followers
2people
Public
69%25 of 36
25
GitHub Contribution Graph

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About Me

Background, interests, and how I work

Education
BSc Computer ScienceMaseno University
2020 β€” 2025
KCSEStarehe Boys' Centre
2015 β€” 2018
Languages
πŸ‡ΊπŸ‡Έ
EnglishFluent
πŸ‡°πŸ‡ͺ
SwahiliNative
πŸ‡ΈπŸ‡¦
ArabicBasic
How I Work
🌿Trunk-Based DevπŸ§ͺTDDπŸ”„GitOpsπŸ“Docs-First
β€œThe best code is the code you don't have to write.”
Daily Drivers
⌨️NeovimπŸ’»VSCode🌐Arc⚑WarpπŸ““ObsidianπŸ“‹Linear
Community

Active mentor in open source communities, helping junior developers break into tech through code reviews and pair programming.

10+ mentees
✨Off-Hours
Lo-fiStrategyPhotoSci-FiCoffeeTravel

What I Build

Bridging the gap between innovative ML research and production-ready infrastructure

Core

MLOps Engineering

End-to-end ML pipelines with automated training, validation, and deployment workflows.

KubeflowMLflowAirflow
Infrastructure

Cloud Architecture

Scalable, cost-effective cloud solutions using IaC and container orchestration.

AWSTerraformKubernetes
Development

Full-Stack Development

Modern web applications with React, Next.js, and Python backend services.

ReactNext.jsPython
AI/ML

AI/ML Integration

Model serving, inference optimization, and RAG systems for production AI.

PyTorchLangChainFastAPI
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