Founder & CTO at AgentiCraft
I build the infrastructure layer for the next generation of AI. My focus is bridging the gap between raw LLM APIs and production-grade, multi-agent ecosystems.
- 200+ Integration Patterns
- 40+ Mesh Services
- 18 LLM Providers
- Zero-Trust Security Architecture
AgentiCraft — The enterprise service mesh for AI agents.
From pilot to production in weeks, not months.
We are solving the hard problems in AI orchestration:
- Stateful multi-agent coordination with formal verification
- Distributed consensus for autonomous agent teams
- Deterministic workflows for non-deterministic models
- Defense-in-depth security with cryptographic identity
- Formal Methods — Provable correctness guarantees for multi-agent systems
- Distributed Systems — Consensus, fault tolerance, service mesh architecture
- Optimization — Swarm intelligence, constraint programming, game-theoretic attribution
- Protocol Design — Open standards for agent interoperability and discovery
- Research — Statistical rigor, hypothesis-driven experimentation, multi-agent benchmarks
- Core: Python, Go, Rust
- AI/ML: LLM Orchestration, Vector Databases, RAG Pipelines
- Infrastructure: Kubernetes, Service Mesh, Distributed Systems