Built at Smart Web Agency for a recruitment client, under NDA
AI resume screening pipeline
An LLM screening layer added to the client’s existing hiring pipeline, built in 18 hours on Laravel, Redis queues, LangChain and Gemma 27B. It triaged every application in a single nine-day batch run, the client reported almost 72% less manual work, and the annual hiring round moved from July to April.
- applications screened in 9 days
- 27,431
- less manual work, reported by the client
- ~72%
- hiring round, about 2.5 months earlier
- July → April
Laravel
MySQL
Redis
LangChain
- DeepInfra
- Gemma 27B
Applied
Under AI review
Shortlisted