QUALITY ENGINEERING · CLOUD · AI SYSTEMS
Make complex software easier to trust.
I am a Senior SDET building quality platforms, cloud automation, and measurable AI workflows that turn difficult failure into useful feedback.
SELECTED SYSTEMS
From ambiguous problems
to observable systems.
Agents with boundaries
Skills, SOPs, scoped tools, runtime controls, and evidence-based evaluation for engineering workflows.
Explore AI systemsInfrastructure that explains itself
Event-driven AWS workloads with explicit ownership, least privilege, deployment safety, and useful diagnostics.
Explore cloud workFeedback that leads to a fix
Automation across services, web, mobile, and device workflows with failure signals people can act on.
Explore projectsCURRENT FOCUS
Make AI quality
measurable.
A convincing demo is not enough. I build repeatable scenarios, deterministic gates, and evidence flows that show when an agent is correct, uncertain, or unsafe.
See the architectureTHE METHOD
Good systems keep
their promises.
Understand
Map the user journey, system boundary, risk, and failure signal before writing the solution.
Design
Make permissions, state, timeouts, retries, and ownership explicit instead of implicit.
Validate
Prefer deterministic checks and actionable evidence over activity that only looks reassuring.
Operate
Design the recovery path, observe the real behavior, and leave the next operator action obvious.
THE TOOLBOX
Tools are only useful
when they move the work.
OPEN CHANNEL
Building something
difficult?
Follow the work, explore the systems, or start a conversation.