Muhammad
Luqman Hakim
4+ years building fault-tolerant payment systems. I turn slow, manual processes into automated pipelines that scale — and lean on AI tooling to ship them faster.
2 days → 5–10 min
Apple TPPIOP SG
read-replicas + indexing
worker observability
The onboarding pipeline I re-architected
Every merchant flows through automated screening and provisioning — what used to take a two-day manual review now completes in minutes.
Re-architected the onboarding worker — 99% faster, <1% error rate, 100% audit compliance via full logging & traceability.
Automated pre-approval & screening pipeline — 100% automated coverage, onboarding completed under 15 minutes.
MUET & STPM management — center assignment, examiner allocation, results. MpmBayar + J&T integration, dynamic PDF certs, mobile APIs.
Exam-data platform for Lembaga Peperiksaan. Tuned MySQL for high-volume integrity and query speed.
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How I use AI to move faster
AI is part of my toolchain, not a crutch — it compresses the boring parts so I can spend judgement where it counts: architecture, edge cases, and reliability.
Spin up boilerplate, migrations and test fixtures in minutes — then refine by hand.
Surface edge cases, security gaps and N+1 queries before they reach production.
Auto-draft docs, changelogs and runbooks so the team moves without me as a bottleneck.