Performance Engineering
claim element
Making the common path fast, and hiding the latency that remains.
cited in: 2 proving documents · 1 companies
proving documents
Trading a runtime join for a materialized column, then finding the 79% my own migration left behind
A per-request warehouse join was scanning 658.8 MB against a hard 953.7 MiB per-job ceiling, on a table growing with every new customer. I measured it, moved the join into the pipeline that already ran it, deleted the cache that was hiding the problem, then audited my own migration and found 79% of production rows never backfilled, plus 9,299 alerts that had never appeared in the product at all.
Delivering a large asset tree end to end, from recursive SQL to progressive prefetch
Delivered search and fast navigation over very large asset trees end to end, with recursive SQL on the backend and a search UX with in-memory caching and progressive background prefetch on the frontend, eliminating the repeated loading that made the most-used flow slow.
exercised at