CTO @ Entropy and Co. | Building AI-powered systems that actually ship
I specialize in multi-agent orchestration, LLM optimization, and production systems that handle real-world complexity. From voice-powered legal intake to intelligent document processing pipelines, I build AI infrastructure that scales.
| Metric | Achievement |
|---|---|
| API Latency | P95 under 600ms with full AI pipeline |
| Batch Processing | 10x faster embedding generation |
| Query Performance | Sub-10ms indexed lookups |
Additional optimizations: 200-400ms saved via GCS streaming, 50-100ms saved via connection pooling.
Multi-Agent Orchestration - Coordinated AI systems with specialized agents working in parallel
Intelligent Document Processing - PDF extraction pipelines with semantic chunking and vector storage
Voice and Conversational AI - Real-time voice agents for legal intake and customer interaction
Performance-Optimized Analysis Platforms - Website intelligence with sub-10ms query performance
Developer Tools and Agents - Streaming chat agents, MCP servers, and AI-powered development workflows
Languages
Frontend
Backend
AI/LLM
Infrastructure
Portus - Multi-agent orchestration platform integrating with Claude Desktop and MCP for coordinated AI workflows
Obelisk - Website intelligence platform with vector search, achieving sub-10ms indexed lookups and comprehensive competitive analysis
GRACE - Voice-powered intake agents for legal automation, handling real-time conversational AI for client onboarding
Anatomia - Healthcare management system with real-time patient queue management, nurse and doctor workflow automation, and role-based dashboards
Bonnet - AI-powered branding platform delivering agency-level research, strategy, and design including audience analysis, demographics, and competitor insights
- Advanced multi-agent coordination patterns
- Vector database optimization for semantic search
- Edge computing for LLM inference
- Email: [email protected]
- LinkedIn: hussainarslan
- GitHub: You're already here.