Professional engineering work Confidential · source not public
Marketplace Personalization
Backend services feeding content and listing experiences shaped by user behaviour.
01 · Problem
Showing everyone the same list in a large catalogue makes discovery hard — and personalization must not cost page performance.
02 · Approach
Prepare personalization data ahead of time rather than computing it per request, and serve results quickly through cache and search infrastructure.
03 · Technical challenges
- Personal results without adding response time
- Balancing data freshness against compute cost
04 · Value delivered
A personalization layer that fits the existing search and cache infrastructure and preserves page performance.