I Build Proactive Agentic AI Systems That Replace Operational Roles
I design context-aware, production-grade AI agents that autonomously run finance ops, support triage, and DevOps workflows—with human-in-the-loop safety, auditability, and measurable business impact.
These systems don't just assist users. They own workflows end-to-end, reason over real-world context, and act reliably in production.
How I'm Different
Most AI projects are chat interfaces. My systems are autonomous agents that own real work.
Proactive
Agents act without prompts. They monitor, reason, and execute based on triggers and schedules.
Context-Aware
Agents reason over history, state, and relationships—not just the current prompt.
Agentic
Plan → Decide → Execute → Learn. Agents own workflows end-to-end.
Safe
Human-in-the-loop gates for risk. Autonomy has boundaries.
Auditable
Every decision explainable. Full trace from action to outcome.
Production-Grade
LangGraph state machines, typed agents, observability, and cost controls built-in.
Core Architecture Patterns
LangGraph state machines, PostgreSQL + pgvector, Redis queues, Neo4j knowledge graphs, Pydantic-AI, and production observability.
GitHub Projects
Open source work and production code
YouTube
Tech talks, tutorials, and agentic AI systems
Featured Videos
Watch my latest tech talks and tutorials on AI systems
Open in YouTubeTechnical Writing
Thoughts on agentic AI systems and production engineering
I don't build AI features. I build reliable autonomous systems that take responsibility for real work.
If your team is drowning in operational overhead, I can help you design an AI system that actually removes it.