Outlier

Optimized a complex cronjob that was running for 3 minutes in production. Profiled it, rewrote the bottleneck, got it to 45 seconds. The kind of fix that feels obvious in hindsight

Executed database query optimizations across several high-traffic endpoints — 40% reduction in average query time, which showed up directly in user-facing response times

Built a student account deduplication tool that merged accounts across 12+ related tables without losing data or breaking relationships. Harder than it looked because of the FK graph

Improved GCP integration reliability, reducing system downtime by 15% and increasing overall platform reliability by 20%

Wrote unit and integration tests with Jest and Supertest, catching regressions before they reached production

A core background job was taking 3 minutes per run and blocking downstream processes during peak hours

Several API endpoints had no query optimization — full table scans on large datasets, no indexes on join columns

Duplicate student accounts were accumulating with no clean merge path. Manual cleanup was error-prone and nobody had a script for it

GCP integrations were failing silently in edge cases, causing downstream data inconsistencies that were hard to trace

Profiled the cronjob execution path, identified N+1 query patterns and unnecessary in-memory sorting, rewrote with batched queries and a single-pass sort — 75% time reduction

Added composite indexes on the most-queried columns, rewrote several ORM-generated queries as raw SQL where the query planner was making bad choices

Wrote a migration-style merge script with dry-run mode — mapped all FK relationships first, then remapped in dependency order inside a transaction so any failure would roll back cleanly

Added structured logging and alerting on GCP integration failure paths, then fixed the root-cause race conditions in the retry logic