Engineering problems, with the outcomes to show for it.
Client names below are withheld under NDA, as is standard for engagements of this kind — the problems, decisions, and results are real.
Cutting a SaaS dashboard's data footprint from gigabytes to megabytes
Confidential SaaS client
GB → ~178 MB payload
A usage-analytics dashboard was shipping gigabytes of payload per session, making the product feel unusable at scale.
Dashboards that used to feel unusable at scale now load near-instantly, removing a recurring source of customer complaints — and cutting the infrastructure cost that came with shipping gigabytes per session.
Designing a multi-tenant SaaS platform from the ground up
Confidential B2B SaaS client
Onboarding: manual → self-serve
A team validated product-market fit on a single-tenant prototype and needed a real multi-tenant foundation before the next round of customers.
New organizations now onboard in minutes through a self-serve flow instead of needing manual setup — removing a bottleneck that would only have gotten worse with more customers.
Modernizing a legacy application without stopping the roadmap
Confidential product company
Monthly → weekly release cadence
An aging application had become expensive to change, with every new feature carrying disproportionate risk.
The team went from shipping monthly, nervously, to shipping weekly with confidence — turning deploys from a risk event into a routine one.
Adding fast search and real-time updates to a data-heavy product
Confidential SaaS client
Search: seconds → <100ms
Users needed to search across large, fast-changing datasets, but the existing database-driven search was too slow to be usable.
Search moved from a seconds-long wait to sub-100ms, and the reduced load on the primary database let the team defer a planned infrastructure upgrade they'd otherwise have paid for sooner.
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