Selected work

Real problems, solved in practice.

A few projects I can talk about. Names withheld, lessons shared.

Fintech: from late-night outages to boring reliability

A payments startup lost a night of sleep with every deploy. We introduced staged rollouts, real error budgets, and a single dashboard the whole team trusted. Within a quarter, outages dropped by 90%.

Outcome 99.98% uptime, daytime deploys, and an on-call rotation people actually volunteered for.

Marketplace: an architecture that could finally grow

The monolith had become a bottleneck for both features and hiring. Instead of a rewrite, we carved out three services along real business boundaries and left the rest alone. Delivery speed doubled without a big-bang migration.

Outcome two teams shipping in parallel, and onboarding time cut in half.

Health tech: decisions backed by data

Product decisions were driven by opinion because the analytics could not be trusted. We rebuilt the event pipeline end to end, defined a clear event vocabulary, and launched self-serve dashboards. Within weeks, the team was running experiments instead of arguing.

Outcome a reliable funnel, three live experiments, and one canceled feature that saved a quarter of engineering time.

By the numbers

90%

fewer production incidents

2x

delivery throughput

-50%

onboarding time for new hires

Your project could be next

Let's talk about what reliability looks like for you.

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