Enterprise ad-tech platform -- real-time fraud detection, campaign intelligence, and AI-driven optimization for digital advertising.
| Product | Description | Status |
|---|---|---|
| Vulcan | Enterprise ad analytics API with multi-tenant RLS, real-time fraud scoring, and campaign performance intelligence. Python / FastAPI / PostgreSQL. | Active |
| Selene AI | Intelligent ad spend protection system. Monitors 50+ campaign metrics, detects anomalies via ML, and auto-pauses wasteful spend. | Active |
| KeyTakeAways | AI-powered Shopify e-commerce analytics dashboard with multi-model chat (Llama 2, Mistral, DeepSeek) and N8N workflow automation. | Active |
| Canary | Early-warning system for business opportunity detection via Shopify ecosystem analysis. | Archived |
AdTecher Platform
================================================================
INGESTION LAYER
----------------------------------------------------------------
[ Meta Ads ] [ Google Ads ] [ Shopify ] [ Custom Sources ]
| | | |
v v v v
+----------------------------------------------------------+
| API Gateway (FastAPI) |
| JWT Auth | Rate Limiting |
+----------------------------------------------------------+
PROCESSING LAYER
----------------------------------------------------------------
| | |
+-----------+ +------------------+ +--------------+
| Fraud | | Campaign | | Spend |
| Scoring | | Analytics | | Protection |
| Engine | | Pipeline | | (Selene AI) |
+-----------+ +------------------+ +--------------+
| | |
v v v
+----------------------------------------------------------+
| PostgreSQL (Row-Level Security) |
| Multi-Tenant Data Isolation via RLS |
+----------------------------------------------------------+
INTELLIGENCE LAYER
----------------------------------------------------------------
+------------------+ +------------------+ +--------------+
| LangGraph | | Groq Inference | | N8N |
| Agent | | (Llama/Mistral) | | Workflow |
| Orchestration | | | | Automation |
+------------------+ +------------------+ +--------------+
- Type safety enforced across all codebases (Python type hints, TypeScript strict mode)
- Row-Level Security for multi-tenant data isolation at the database layer
- Conventional commits and branch naming conventions enforced via CI
- Automated security scanning with dependency auditing and secrets detection
- Structured logging with request-scoped context for full observability
All contributions follow our organization-wide standards. See our Contributing Guide and Code of Conduct.
Report vulnerabilities privately per our Security Policy. Do not open public issues for security concerns.