"Outcomes over demos. Architecture over hype."

I bridge the gap between fragile AI research demos and resilient enterprise systems. I don't just write prompts; I engineer stateful, observable, and governed architectures that replace manual operational toil with deterministic reliability.

My systems are built for:

• Predictability: End-to-end type safety (Pydantic/TypeScript) and binary acceptance tests.
• Governance: Strict "Human-in-the-Loop" (HITL) gates, RBAC, and audit trails.
• Observability: If it isn't traced in Langfuse, it doesn't exist.

Layer	Technology Choice	Why?
Orchestration		Deterministic loops, not random chains. Cost-controlled routing.
Backend Core		High-concurrency async I/O for parallel agent execution.
Data Fabric		Hybrid Search (Vector + Graph) for grounded truth retrieval.
Observability		Full visibility into latency, cost per token, and trace failures.

Vertical AI Agent for AP/AR Automation replacing manual data entry.

The Problem: Finance teams drown in manual invoice reconciliation and "email ping-pong." The Solution: A "Trust Battery" architecture that autonomously approves low-risk invoices and escalates anomalies.

• Architecture: Analyst-Critic Loop (LangGraph) → Slack Intern UI → ERP Sync
• Key Innovation: Trust Battery Logic—Dynamic confidence thresholds that increase autonomy over time per vendor.
• Metric: Reduced manual review by 80% with 100% auditability on escalations.

Event-driven multi-agent system for DevOps & Compliance governance.

The Problem: Alerts are noisy, and manual remediation is slow and risky. The Solution: A specialized "Council of Agents" that triages webhooks and proposes idempotent fixes.

• Architecture:

  graph LR
  A[Webhook Event] --> B(Sentinel: PR Audit)
  A --> C(Hunter: EBS Cleanup)
  B & C --> D{Action Proposal}
  D --> E[Human Inbox Approval]
  

  Loading
• Key Innovation: Idempotent Action Proposals—Agents cannot "act," only "propose." Humans click "Approve" to execute via secure runners.
• Agents: Sentinel (Code Quality), Hunter (Cost Ops), Guard (IAM Security).

Next-gen e-commerce support with Generative UI and Universal Commerce Protocol (UCP).

The Problem: Chatbots are dumb text boxes that can't "do" anything. The Solution: A Generative UI agent that renders dynamic React components (Refund Cards, Product Carousels) inside the chat.

• Architecture: RAG (Vercel AI SDK) → MCP Tool Execution → GenUI Render
• Key Innovation: Universal Commerce Protocol (UCP)—Standardized schema for product discovery and support actions across platforms.
• Tech: RAG with Prisma, Vercel AI SDK, React Server Components.

I partner with technical founders to build assets, not technical debt.

1. Audit (Week 1): I review your legacy automations/codebase. Output: Latency/Cost Baseline & Architecture Plan.
2. Build (Weeks 2-4): Sprints focused on passing binary acceptance tests. No "it works on my machine."
3. Handover: Full documentation, architectural decision records (ADRs), and ops dashboards.