I am a Senior Software Engineer with 8+ years of enterprise experience building high-concurrency FinTech infrastructure, reactive microservices, and agentic AI execution frameworks. Active open-source contributor to core Spring AI (spring-projects).

• 🔭 I’m currently focused on: Building production-grade Model Context Protocol (MCP) ecosystems and automated structural payload verification tools.
• 🌱 I’m actively optimizing: Context window token bloat mitigation and agentic execution graph architectures.
• 💡 I specialize in: Translating complex financial compliance and system constraints into clean, high-throughput architectures using Java, Spring Boot, and modern web frameworks.
• 🚀 Open Source Impact: Authored core framework patches for Spring AI (#6540) to fix runtime payload nested structure validation errors.

Languages

Backend & AI Orchestration

Frontend Architecture

DevOps & Infrastructure

An automated validation and structural rules engine built in Java to parse, inspect, and enforce architectural constraints on AI-generated system payloads.

• The direct codebase implementation companion to my technical architectural publication: "The Green Avalanche: AI Can Generate Code Faster Than Humans Can Verify It."

An autonomous Model Context Protocol server built with Java and Spring AI designed to dynamically intercept, map, and programmatically validate complex live OpenAPI configurations for LLM tool calling execution graphs.

A fully non-blocking, asynchronous event-driven booking engine engineered with Spring WebFlux and Reactive MongoDB to handle high-concurrency ticket allocations via stateless cryptographic sessions.

A clean financial monitoring ecosystem combining modular UI architectures with a decoupled backend to securely ingest and track continuous real-time webhook transaction streams.

• Towards AI: "Fixing 'Tool Amnesia' in MCP Ecosystems" — Mitigating context window explosion and token bloat within large-scale agentic execution graphs using specialized Java Gateway routers.