I'm a Senior Backend Engineer & Tech Lead with 15+ years building enterprise-scale platforms in financial services. I architect cloud-native systems that process tens of millions of transactions daily, lead engineering teams, and build agentic AI tooling that integrates LLMs into real developer and business workflows.
- 🏗️ Architect at scale — Transaction enrichment platform on Java 21, Kafka, OpenShift
- 🤖 Agentic AI builder — Shipping MCP servers, LLM-powered DevSecOps tooling, and multi-agent systems
- ☁️ Cloud-native first — Kubernetes, OpenShift, Helm, AWS, Datadog observability
- 📊 Data-intensive systems — Kafka Streams, Postgres, Redis, Trino/Starburst federated analytics
- 🧠 Off the keyboard — AI/ML self-learner
A Maven plugin that turns security scanning into an autonomous Observe → Reason → Act loop.
🔍 Observe — Runs Nexus IQ, Fortify SCA & SonarQube scans locally 🧠 Reason — Sends findings to Anthropic Claude with full code context 🛠️ Act — Generates prioritized, exploit-aware remediation suggestions 🔁 Iterate — Developers fix and re-scan before pushing — no Jenkins roundtrip
Stack: Java 21 · Maven Plugin API · Anthropic Claude · Spring AI · MCP-ready architecture
- ✅ Microservices & event-driven design at financial-services scale
- ✅ Domain-Driven Design, CQRS, Saga & transactional outbox patterns
- ✅ API Gateway, service mesh, and resilience engineering
- ✅ High-throughput pipelines (15M+ requests/day)
- ✅ Model Context Protocol (MCP) servers & clients
- ✅ Multi-agent orchestration with LangChain4j & Spring AI
- ✅ RAG pipelines with pgvector & semantic search
- ✅ Tool-use, function calling, and the ReAct pattern
- ✅ Local LLMs (Ollama) for privacy-sensitive use cases
- ✅ Kubernetes & OpenShift on Java 21 with virtual threads
- ✅ Helm chart authoring, CI/CD on Jenkins & GitHub Actions
- ✅ Datadog observability — dashboards, monitors, log pipelines
- ✅ AWS, Kafka Streams, Trino/Starburst federated analytics
- ✅ Tech lead for cross-functional teams across multiple domains
- ✅ Code review culture, secure-by-default patterns, mentoring
- ✅ Architecture documentation: C4, ADRs, runbooks
- 🔌 MCP Host Integration — Faithful Java/Spring Boot implementation of the Model Context Protocol — one host application with three MCP clients connecting to separate servers
✈️ Agentic Trip Planner — Production-grade multi-agent AI travel planning platform built with Spring Boot, Spring AI, and Google Gemini- 🤖 Agency Agents — Original AI-agency framework with specialized agents on the JVM
- 🧠 AI Engineering Lab — Personal lab for AI/ML experimentation, including a from-scratch Java 21 neural network with gradient descent
- 🏥 AI Hospital Assistant — Patient lifecycle management with AI integration
- 💳 Payment Platform — Production-grade Maven multi-module monorepo for real-time payment processing with layered fraud detection (MaxMind GeoLite2, Sift Science, Redis-backed velocity checks, transactional outbox)
- 🔍 CodeXRay — Developer-intelligence platform analyzing Java code structure and performance
- 📡 9Router — AI coding router with auto-fallback across 40+ LLM providers
- 🏛️ Claude Certified Architect — Personal study notes for the Claude Certified Architect Foundations track
- ⚖️ Claude for Legal — Plugins for legal workflow automation
Building backend systems and agentic AI tools that ship to production.