Infrastructure, automation, storage, startups, and field lessons.

I’ve always known I was going to work in technology.

I attended Marist College largely because of its proximity to IBM. Even before graduating, I was determined to get real-world engineering experience, and during my sophomore year I landed my first role at IBM. That opportunity became the launch point for my career.

After college, I moved to Massachusetts and joined EMC during an incredibly transformative time in enterprise infrastructure. I had the chance to work alongside some of the smartest engineers and architects in the industry while watching storage technology evolve at an incredible pace.

Over the years, I watched enterprise disk capacity grow from 9 GB drives to 18 GB, 36 GB, 73 GB, and eventually into the terabyte era. One of the most important lessons from that period was understanding that available capacity does not necessarily mean available performance.

As storage systems grew larger, many organizations assumed they could continuously place more workloads onto arrays simply because there was free space available. In reality, IOPS and latency constraints often became the limiting factor long before capacity did. That realization shaped much of my thinking around infrastructure design, scalability, and performance engineering.

While at EMC, I wrote numerous best-practice papers focused on Microsoft Exchange and enterprise storage architectures. I also developed my first software application, the SnapView Integration Module for Exchange, and later created a patent around automated storage tiering technologies.

As flash storage entered the enterprise, I watched bottlenecks shift away from disks themselves and toward controllers, interconnects, and distributed system architectures. That transition sparked my interest in startup environments and modern platform engineering.

Where I’ve worked

• IBM
• EMC
• Virsto, later acquired by VMware
• MapR
• Hortonworks
• OwlDQ
• DRIT Consulting Services

What I focus on today

• Kubernetes
• Platform engineering
• Distributed systems
• Automation
• AI infrastructure
• GPU computing
• Data platforms
• Practical operational troubleshooting

This site is a collection of sanitized field notes, lessons learned, and practical engineering writeups gathered from years of working on real systems in production environments.

Needless to say, it’s been quite a ride, and I’m excited to see where the next chapter leads.