Services

Focused expertise.
Practical outcomes.

Senior engineering support for teams facing important system decisions, reliability challenges, or ambitious AI work.

01 / AI systems

AI Agent & Enterprise AI Engineering

AI features are easy to prototype and harder to make predictable. Tool execution, retrieval, permissions, structured outputs, and evaluation all need deliberate boundaries.

How I can help

  • Review agent workflows, tools, and execution boundaries
  • Design RAG ingestion, retrieval, and citation flows
  • Build evaluation cases and operational traces
  • Integrate models with existing services and data

Typical deliverables

  • Architecture and risk review
  • Working implementation or targeted prototype
  • Evaluation and verification plan
  • Technical documentation and handover
Relevant evidence

Agent Reliability Lab · Enterprise RAG Assistant

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02 / Backend systems

Java Backend & API Integration

External APIs fail, time out, rate-limit, and sometimes complete a write without returning a response. Retrying safely requires more than adding a retry annotation.

How I can help

  • Design Spring Boot APIs and service boundaries
  • Address idempotency, retry safety, timeout budgets, and reconciliation
  • Troubleshoot integration behavior and operational signals
  • Build failure tests around realistic partner scenarios

Typical deliverables

  • Integration architecture and failure model
  • Implementation of critical gateway paths
  • Automated integration and recovery tests
  • Operational notes for support and evolution
Relevant evidence

Spring Boot Integration Lab

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03 / Architecture

Enterprise Architecture Consulting

A platform can accumulate delivery friction, unclear ownership, reliability risks, and modernization pressure. Teams need a practical sequence of changes rather than a diagram detached from delivery.

How I can help

  • Assess architecture, dependencies, constraints, and risks
  • Review service boundaries, scalability, and reliability
  • Define modernization options and trade-offs
  • Align a technical roadmap with team capacity and business priorities

Typical deliverables

  • Current-state assessment
  • Prioritized risks and options
  • Target architecture with decision records
  • Incremental engineering roadmap
Relevant evidence

Experience across large-scale commerce, financial technology, banking, and distributed systems

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Next step

Have a complex engineering challenge?

Let's discuss a focused architecture review, integration project, or AI engineering engagement.

Get in touch