In 2019, I bombed a Linux interview.

The recruiter had matched me to a role that wasn’t in my wheelhouse, and I walked into the conversation cold—no prep, no context, and no clue what was coming. The guy on the other end seemed like he was more interested in proving what I didn’t know than understanding what I could do.

I walked away feeling like an idiot.

But instead of letting that moment define me, I let it ignite me.

That experience pushed me deep into cybersecurity. I discovered tools like Hashcat, and for the first time, I realized how powerful GPUs really were—not just for password cracking, but for raw computing performance. That one spark turned into a vision: what if we built GPU-powered infrastructure not just for brute force, but for intelligence—for AI/ML?

That led to:

• Designing and deploying six Kubernetes-ready MLOps clusters
• Spearheading our migration to PaperSpace and Azure OpenAI
• Building secure, hybrid GPU infrastructure that powers our machine learning pipelines today

What started as a “you’re not good enough” moment became the foundation of everything I’m building now.

I don’t call myself a Linux Admin.
I call myself a Builder of What’s Next.