Judgment under pressure
Deciding when to push ahead, pause or roll back a production change, with carrier traffic on the line and incomplete information.
Proof: platform upgrades across 3 high-concurrency systems with zero unexpected downtime.
17+ years keeping enterprise Linux platforms fast, secure and online, and turning the data they produce into decisions people can act on. I automate the repeatable work so I can spend my time on the judgment calls.

The same instincts that keep a production platform healthy (monitoring, root-cause analysis, automation) are the ones that make data analysis useful. I bring both.
Enterprise RHEL and Ubuntu at scale, from bare metal through OpenStack to Kubernetes and OpenShift.
Full-stack ETL with Python (Pandas) and SQL, delivered as dashboards that lean teams actually use.
I use automation and AI every day; they make me faster. But the parts of this work that matter most still come down to people: judgment, trust and accountability. Here is where I bring that, with the proof.
Deciding when to push ahead, pause or roll back a production change, with carrier traffic on the line and incomplete information.
Proof: platform upgrades across 3 high-concurrency systems with zero unexpected downtime.
An algorithm can suggest a fix. Someone still has to sign the change, own the SLA and answer for the outcome. That's me.
Proof: wrote and owned the MOPs that standardized upgrades and patching across production nodes.
Getting security, development, transport and vendor teams to agree on one plan, and keep agreeing when it changes.
Proof: led hardening, encryption and compliance initiatives with InfoSec and stakeholders.
Reading a room, finding where someone is stuck and building their confidence, not just handing them an answer.
Proof: designed and led team training in Python, Bash and automation principles.
Knowing what should be done with data and systems, not only what can be. Weighing risk, privacy and regulation.
Proof: regulatory compliance and security posture work on carrier-grade platforms.
Hearing what a guest or stakeholder actually needs and making them feel looked after, especially when something goes wrong.
Proof: personally handle every guest conversation for a vacation rental, from booking through check-out.
"Automation handles the repeatable work. My job is the judgment calls, the relationships and the responsibility that go with them."
Projects I've designed and built end to end, from data ingestion through analysis to the finished interface.
A live river dashboard for USGS station 08165500 that puts today's conditions in the context of 85 years of daily records (1941–present), computed in the browser from USGS Water Services data.
Stevens Institute of Technology, Hoboken, NJ
Stevens Institute of Technology, Hoboken, NJ
University of Washington, Bothell, WA
I'd love to hear what you're building and where I can help.