Architecture breakdown · Kingpin
Wholesale B2B Platform & Automated LLM Insight Engine
Led 12 engineers shipping multi-tenant catalog/order workflows, ERP/CRM syncs, canary releases, and an LLM pipeline cutting feedback analysis time by 80%.
SYSTEM ARCHITECTURE // Kingpin
Dubai, UAE · 2024 — 2025
Wholesale B2B Platform & Automated LLM Insight Engine
PROBLEM & CONSTRAINTS
Scaling multi-tenant wholesale workflows with external ERP/CRM integrations while aligning a 12-person team on safe daily releases.
ARCHITECTURAL SOLUTION
Introduced feature flags, trunk-based canary rollouts, Grafana alerting, and an automated LLM pipeline synthesizing Sales/CS feedback.
PRODUCTION DATA & CONTROL FLOW:
[Multi-Tenant B2B Portal] ──► [Feature-Flagged API Gateway / NestJS]
[Order & Catalog Core] ◄──► [Async ERP / CRM Sync Workers + Redis]
[Sales & CS Inputs] ──► [LLM Insight Pipeline] ──► [-80% Feedback Analysis Time]
KEY PRODUCTION OUTCOMES:
- ▸ Cut feedback analysis time by 80% via an LLM clustering and insight pipeline.
- ▸ Delivered multi-tenant catalog and transactional order engines with bidirectional ERP/CRM sync.
- ▸ Established trunk-based delivery from main with feature flags and Grafana oversight.