Private experiment
Applicant Management System
An exercise in indexed lookup, ranked retrieval, multi-criteria filtering, and recoverable persistence.
Java · Hash maps · Priority queues
- O(1) average lookup
- O(log n) queue operations
01 / Problem
The constraint
Support direct candidate lookup and ordered retrieval without conflating algorithmic complexity with measured application latency.
02 / Structure
Architecture at a glance
- Lookup / filter requests
- Hash maps + priority queues
- Ranked output + checked backups
03 / Implementation
Engineering decisions
- Hash maps support average constant-time record lookup.
- Priority queues support ranked retrieval with logarithmic update operations.
- Boolean criteria filter records; serialization and checksums support backup integrity checks.
04 / Evidence
Measurement context
Author-supplied notes describe filtering over 5,000+ records and serialization backups with integrity checksums. No public source or independent benchmark is available.
05 / Trade-offs
Limits worth stating
- Complexity descriptions are not wall-clock performance measurements.
- Ranking behavior depends on clearly defined, consistently applied criteria.