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04Engineering

How I work

I enjoy building systems from the ground up. My work spans enterprise consulting, business applications, software products and independent engineering projects.

A / Values
  1. 01Engineering simplicity
  2. 02System architecture
  3. 03Practical solutions
  4. 04Maintainability
  5. 05Product thinking
  6. 06Independent development
  7. 07Continuous improvement
B / How I work with AI

AI is a development tool, not a replacement for engineering judgment

I use AI throughout my workflow, in the same way I use any capable tool: where it helps, and with its output treated as a proposal until I have checked it. It changes how quickly I can work. It does not change who is accountable for the result.

Where AI helps

  • Accelerate developmentReduce the time spent on routine and repetitive implementation.
  • Explore alternativesCompare architectural options before committing to one.
  • Draft implementationsProduce a first version to review, correct and build on.
  • Refine technical designsTest a design by challenging its assumptions and edge cases.
  • Investigate problemsTrace unfamiliar behavior through code, logs and documentation.
  • Assist documentationKeep technical documents in step with what was actually built.
  • Support iterationShorten the loop between a change, its check and the next change.

What I remain responsible for

  • Architecture
  • Technical decisions
  • Code quality
  • Validation
  • System behavior
  • Maintainability
  • Final implementation
C / Tech stack

Organized by the job each tool does

Trace by project
  1. FE

    Frontend

    Interfaces and client applications

    • Vue 3
    • TypeScript
    • Vite
    • Pinia
    • Vue Router
    • Quasar
    • JavaScript
  2. BE

    Backend

    Services and application logic

    • .NET
    • C#
    • ASP.NET
    • Dapper
    • REST APIs
  3. DB

    Database

    Relational and key-value storage

    • PostgreSQL
    • SQL Server
    • DynamoDB
  4. CL

    Cloud / Infrastructure

    Hosting, messaging and delivery

    • AWS
    • Lambda
    • API Gateway
    • SQS
    • S3
    • Cloudflare
    • Home Lab
    • Proxmox
    • Docker
  5. EN

    Enterprise

    Business application platforms

    • Microsoft Dynamics 365 CE
    • Power Platform
    • Dataverse
    • Power Automate
  6. AR

    Engineering

    Design disciplines across the stack

    • System Architecture
    • Solution Architecture
    • Infrastructure Setup
    • API Design
    • Integration Architecture
    • Metadata-Driven Systems
    • Application Design