I work at the intersection of software engineering, project leadership, and digital transformation.

My focus includes:

• 🤖 AI-Driven Development — AI-assisted coding, multi-agent workflows, code review, documentation and software delivery
• 🏗️ Enterprise Software — scalable applications, legacy modernization and long-lived business-critical systems
• 🔗 Integration & APIs — REST, SOAP, WSDL, EDI and enterprise data exchange
• 🚢 Logistics & Customs Technology — global logistics, customs compliance and CargoWise-related systems
• ☁️ Cloud & DevOps — Azure, Docker, CI/CD and modern delivery practices
• 👥 Engineering Leadership — Agile/Scrum, technical mentoring, stakeholder management and project governance

One of my current areas of exploration is AI-augmented software engineering.

I use AI not simply as a coding assistant, but as part of broader development workflows involving:

Planning → Architecture → Coding → Review → Testing → Documentation → Delivery

Tools and technologies I actively explore include:

• GitHub Copilot
• Anthropic Claude
• Google Gemini
• Multi-agent development workflows
• AI-assisted code generation and refactoring
• AI-assisted documentation and analysis
• AI-supported testing and software delivery

The goal is simple:

Use AI to increase engineering leverage without compromising software quality, architecture, or maintainability.

Experience with business-critical software where reliability, integration, compliance and long-term maintainability matter.

Working with established enterprise technologies while moving systems toward more modern architectures, APIs, cloud platforms and multi-UI environments.

Designing and working with complex integrations across enterprise systems using:

REST · SOAP · WSDL · EDI · APIs · Data Exchange

A significant part of my engineering background is in global logistics and customs technology, including areas such as:

NCTS · Global Manifest · Customs Declarations · E-Invoicing · CargoWise

My work increasingly sits between technology and business.

I enjoy translating complex technical problems into:

• clear project objectives
• practical architectures
• measurable delivery plans
• effective engineering workflows
• business-oriented solutions

This is where I see the strongest value of combining software engineering experience with project management and business education.

AI Engineering · Software Architecture · Digital Transformation · Enterprise Software

Project Management · Engineering Leadership · Cloud · DevOps

Logistics Technology · Customs Systems · Enterprise Integration

Let's build better software.