Three years ago, I made one of the biggest decisions of my life — to change careers and step into the world of cloud computing. Today, I work at a small Google partner company, building and maintaining cloud solutions that empower people and businesses to grow. The journey hasn’t been easy — being a woman in tech often means having to prove yourself twice as much — but it’s also been incredibly rewarding. Each challenge shaped me into the professional I am today: curious, resilient, and committed to creating technology that truly helps people.
That’s why participating in the 5-Day AI Agents Intensive Course by Google and Kaggle felt so special. It wasn’t just another technical training — it was a chance to discover how AI agents can bridge the gap between innovation and human value.
The day that impacted me the most was Day 4: Agent Quality. It completely shifted how I think about building reliable agents. We explored topics like observability, logging, tracing, and evaluation metrics — but what stood out wasn’t just the tools or frameworks. It was the message behind them: reliability in AI is a reflection of care. The better we understand our agents’ behaviors, the more responsibly we can design systems that serve people fairly and transparently.
Then came Day 5: Prototype to Production, where everything came together. We learned how to move from local experiments to real-world deployments, and how the Agent2Agent (A2A) Protocol enables collaboration between agents. For me, that was a lightbulb moment — realizing that agents can work together just like teams do. It made me think of all the ways this technology could scale into meaningful, human-centered solutions.
For my capstone project, I created a concept for an agent that supports mobility for elderly people. Too often, they are left behind in the digital age, yet they are the generation that built the foundations we stand on. This project became my small way of honoring them — designing technology that listens, assists, and empowers, instead of excluding.
This course reminded me why I love working in tech. It’s about more than code or models — it’s about building things that matter. AI agents have the potential to transform how we interact with the world, but only if we embed empathy and inclusiveness at their core.
And as a woman in cloud engineering, learning to build this new generation of intelligent systems feels both empowering and full of promise — proof that technology can be as compassionate as the people behind it.
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