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