High-Load Agentic Roleplay Core

Overview

An ultra-fast, privacy-first multi-agent backend for a high-load conversational AI platform similar to Character AI. The system required simultaneous compliance with GDPR and the EU AI Act, demanding that data sovereignty, age verification, and content moderation be architectural first-class concerns — not afterthoughts. The core challenge was achieving sub-millisecond agent response times without relying on heavy frameworks that sacrifice observability and control.

Achievements

• Delivered a fully custom Python backend from scratch, without heavy frameworks, achieving maximum throughput and observability at production scale. • Implemented Privacy-by-Design architecture ensuring the client retains full status as data owner — zero third-party data exposure by design. • Built a custom multi-agent memory layer with Contradiction Resolution logic, enabling consistent, coherent character personas across long sessions. • Achieved full GDPR and EU AI Act compliance from day one, including integrated identity and age verification pipelines with audit trail support.

Responsibilities

• Served as Fractional CTO — defined the full technical architecture, made all stack decisions, and led end-to-end backend delivery.
• Designed and implemented a high-performance multi-agent orchestration core optimized for concurrent, low-latency roleplay sessions.
• Built custom memory and context management logic with contradiction detection to maintain character consistency across sessions.
• Integrated identity and age verification providers as a core compliance pipeline, not a post-release patch.
• Architected the system around Privacy-by-Design principles to satisfy GDPR and EU AI Act requirements without performance trade-offs.

Technologies Used