Key Business Impact

Addressed moderation teams spending 70% of time on mechanical tasks; built MVP plus production path.

Project Overview

GenAI accelerator replacing legacy moderation APIs to handle content classification under traffic surges.

Technical System Architecture

Operational data flow and system architecture designed for this solution:

input

User Media & Comments

ai

Multi-Modal Moderation AI

process

Rule Engine Filter

database

Violation Registry DB

output

Approved / Blocked Feed

Case Study & Delivery

Designed and built moderation classifiers with production IaC, monitoring, and CI/CD pipeline for scale.

Consulting Assessment & Strategy

As an AI consultant, the primary focus for this project was to establish a production-grade infrastructure that balances LLM performance, response latency, and system cost. This was achieved by introducing specific design patterns:

  • Agentic Orchestration: Decoupling tasks into dedicated specialized agents to reduce complexity and improve reasoning accuracy.
  • Custom Model Routing: Routing simple tasks to lightweight tier-2 models (e.g. AWS Nova Flash / Sonic) and reserving heavy reasoning for flagship models.
  • Security & Compliance Guardrails: Integrating strict input/output verification steps to prevent PII exposure and prompt injections.