Resume
Michael Cabassol
Principal engineer, AWS and applied AI. Leadership brings me in when a project will take a lot longer than
it should. Due diligence, a build in the team’s own stack, then they run it.
Career
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Serve Virtual Enterprises. I was on the account-management APIs behind every card
swipe, then on the monitoring team. One .NET attribute traced every function and another cached it, at
hundreds of millions of calls a day.
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Express Scripts. No deployment pipeline at all: four of us built the custom Jenkins
that replaced the release team’s runbooks. I argued for Kubernetes, lost to a vendor pitch, and built
the on-ramp to the platform anyway.
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TGI. A Toronto startup — the one stop on this list with nothing written up yet.
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Cigna. The rover: leadership hands me the hardest project on whichever team is stuck. A
PCF-to-AWS migration and the path to prod under it, a two-week prototype that got a two-year design
effort staffed, and a forked query editor that ended a $700k-a-year renewal.
Stack
AWS (Amazon Web Services), AWS Lambda, Amazon ECS (Fargate), Application Load Balancer (ALB, ELB),
Observability (Datadog, SigNoz, canonical logging), Caching (cache layers), and Cursor (AI-assisted
development, Claude Code, Codex).
Depth is in the catalog below, not in a years column.