Episode Details

Modern software moves at machine speed.

Features ship daily.

AI is rewriting engineering workflows.

And teams are under constant pressure to move faster without breaking everything underneath.

But behind every reliable product, secure release, and scalable platform…

there are engineers solving invisible problems most users never see.

In this episode of Thought Atlas, I’m joined by Akshay Aggarwal — Principal SDET and engineering leader working at the intersection of distributed systems, AI-driven testing, intelligent automation, performance engineering, and scalable software reliability.

At Palo Alto Networks, Akshay built AI-powered testing systems capable of mining production behavior to generate smarter test cases automatically.

Previously at Workday, he developed predictive quality systems that dramatically reduced testing time while improving reliability.

This conversation explores:

• AI-driven software testing

• Distributed systems and engineering complexity

• CI/CD pipelines and deployment reliability

• Performance engineering and systems thinking

• Cybersecurity and observability

• Automation, trust, and software quality

• AI’s impact on the future of engineering

• What separates exceptional engineers from average ones

This isn’t just a conversation about software.

It’s about complexity, systems, trust, and what happens when modern infrastructure quietly powers the world beneath the surface.

🌐 Thought Atlas:

https://joinpodmatch.com/thoughtatlas

🔍 Connect with Akshay Aggarwal:

https://www.linkedin.com/in/akshayaggarwal/