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Irene Githundi
Irene Githundi

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DevOps as a Career Food-Tech Startup (and Autonomous Racing)

DevOps-IFAS capability loop which demonstrates the advanced capability of IFAS in combining the development and operations practices at each stage of the cycle.

Who knew DevOps could be used in food industries in Africa? Certainly not me when I started in 2025. But looking back from 2029, it's wild how things turned out. I'm now running SafeFood Systems, a company that helps food manufacturers across Kenya track quality and compliance automatically. And on weekends? I consult for university teams competing in the A2RL autonomous racing league. Here's how DevOps made all of this possible.

When I started the DevOps Micro-Internship (DMI) by Pravin Mishra in early 2026, I honestly just wanted to learn CI/CD and land a tech job. But something clicked while building my first monitoring dashboard. I realized the same principles we use to keep software running could solve real problems in industries I actually cared about.

By 2027, I started playing around with an idea: what if we monitored food processing the way we monitor servers? I wrote a few LinkedIn posts about it, mostly to organize my thoughts. A small dairy company in Nairobi saw one of my posts and reached out for help with their quality control nightmares. I built them a basic system using Docker and Jenkins to automate their quality checks. The results were immediate—they cut their failures by 30% in four months.

That proof of concept became SafeFood Systems in 2028. By 2029, we had scaled to 6 clients across East Africa and 2 in Southern Africa. The platform monitors temperature, humidity, and contamination risks in real-time, then automatically generates compliance reports. I finally got to combine my DevOps skills with something that genuinely matters to people's health.

The motorsport consulting started by accident. I've always loved watching Formula 1 and endurance racing series. When I discovered A2RL in 2026, I noticed something familiar: their systems worked perfectly in testing but failed under race pressure. I did my bootcamp project on this problem and documented everything publicly. One team noticed my work and asked for help building proper CI/CD pipelines for their autonomous racing code. That team placed second in the 2027 season.

The craziest part? I'm not the smartest engineer. I just stayed consistent, built things people could see, and stopped waiting for someone to hand me opportunities. DevOps wasn't the end goal; it was the tool that let me work on problems I actually care about.

This is part of DevOps Micro-Internship (DMI) by Pravin Mishra.

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