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AI & Fintech SystemsProductionTimeline: 2024Role: Backend & AI Systems Engineer
ALG Kustomers CRM & Miss Algorithm AI Co-Pilot
Multi-tenant CRM REST backend (PHP 8 + MySQL) paired with a loopback FastAPI Python AI co-pilot service and WhatsApp outreach automation.
The Problem
Enterprise sales teams lose valuable pipeline leads due to fragmented customer records and delayed response times during off-hours.
The Architectural Solution
Constructed an enterprise backend with PHP 8 PDO prepared statements and a dedicated internal loopback FastAPI service running "Miss Algorithm"—an AI acquisition agent providing automated customer engagement and anti-cheat verification.
System Architecture & Flow
CANONICAL TOPOLOGY[Frontend Kustomers OS]
│
▼
[PHP 8 REST API (ALG Gateway)]
├── OWASP Headers & CORS Allow-list
├── JWT Auth with Refresh Tokens & Module RBAC
├── MySQL PDO Prepared Statements
└── AI Gateway Proxy
│ (Loopback 127.0.0.1:8000 only)
▼
[FastAPI Python AI Service (Miss Algorithm)]
├── Groq / LLM Chat Engine
├── Personas & Anti-Cheat Logic
└── WhatsApp Outreach AgentEngineering Contributions & Deliverables
- Designed clean loopback architecture preventing external exposure of AI inference services.
- Configured OWASP security baselines: strict CORS, rate-limiting, and signed access/refresh token rotation.
- Built Excel bulk user import/export routines handling high-volume customer datasets.
Formal Security Invariants Enforced
AUDITOR VERIFIED[1]Loopback Isolation: The AI microservice binds strictly to 127.0.0.1 and cannot be called without verified PHP API gateway signature.
[2]Tenant Separation: Every query strictly binds organization_id.
System Metrics
ArchitectureGateway + Loopback AI
Security BaselineOWASP Compliant
Technology Breakdown
Core Runtime & Language
Python 3.11FastAPIPHP 8+
Backend & Protocols
Pydantic v2Groq APIJWT RBACOWASP Security
Databases & Ledgers
MySQL PDOPrepared Statements
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