MK1.engineering

CAPABILITY ATLAS / 2026

Skills matter when they come with context.

Twelve capability areas, concrete technologies and the shortest path to relevant evidence. Professional experience, owner-built products and synthetic labs are explicitly distinguished.

12 / 12 capability areas

01 / Owner-built systems and synthetic labs

AI & agents

Decompose business processes, define approval boundaries and integrate AI output through traceable state.

  • LLM pipelines
  • Agent orchestration
  • Human-in-the-loop
  • Prompt versioning
  • Evaluation
  • n8n
Evidence & context ↗
02 / Professional experience and owner-built products

C# & .NET

Business logic, backend services and incremental legacy modernization. Understand and preserve existing behavior first.

  • C#
  • .NET
  • ASP.NET Core
  • Razor Pages
  • CLI tooling
  • Characterization tests
Evidence & context ↗
03 / Owner-built web products; 3D as a personal work sample

Web & product interfaces

From data models and authentication to usable interfaces, dashboards and complete workflows.

  • TypeScript
  • JavaScript
  • React
  • Next.js
  • HTML
  • CSS
  • Responsive UI
  • WebGL
  • GLSL
  • Procedural 3D
Evidence & context ↗Interactive web sample ↗
04 / 15 years of owner-confirmed domain experience

ERP & industrial processes

Connect commercial documents with material reality: units, tolerances, partial quantities and business exceptions.

  • Order-to-cash
  • Master data
  • Inventory
  • Batches & coils
  • Invoicing
  • Logistics
Evidence & context ↗
05 / Professional experience; public synthetic examples

APIs & B2B integration

Stable contracts, partner mappings, explicit error semantics and controlled recovery across system boundaries.

  • REST
  • OpenAPI
  • EDI
  • Webhooks
  • OAuth
  • HMAC
  • Idempotency
Evidence & context ↗
06 / Owner-built data platform and control plane

Data & databases

Combine sources, control duplicates, preserve provenance and make coverage and quotas visible.

  • SQL
  • PostgreSQL
  • SQLite
  • Prisma
  • Ingestion
  • Normalization
  • Provenance
Evidence & context ↗
07 / Owner-built tools and local systems

Python & automation

Automate files, import paths and verification reproducibly. Keep outcomes, failures and provenance explicit.

  • Python
  • PowerShell
  • JSON
  • CSV
  • REST clients
  • Hash verification
Evidence & context ↗
08 / Owner-operated applications

Deployment & operations

Deploy applications behind TLS, isolate internal services and ship releases with health checks and a rollback path.

  • Docker Compose
  • Linux
  • Caddy
  • nginx
  • HTTPS
  • Health checks
  • Rollback
Evidence & context ↗
09 / Owner-built systems and executable labs

Quality & reliability

Account for failure modes, unknown outcomes and duplicate delivery. Verify compatibility and recovery explicitly.

  • Automated tests
  • Contract checks
  • Replay
  • Retry & Backoff
  • Audit trails
  • Recovery
Evidence & context ↗
10 / Public technical work samples

Documentation & handover

Make technology usable for others through executable examples, traceable decisions and concrete operational guides.

  • Docs-as-code
  • Quickstarts
  • Runbooks
  • API reference
  • Architecture
  • Git
Evidence & context ↗
11 / Owner-built local DMS companion

Document workflows

Model scanning, visual review, OCR and archive confirmation as separate states; preserve originals and page provenance.

  • Paperless-ngx REST
  • OCR pipelines
  • eSCL
  • SQLite
  • SHA-256
  • Windows / Hyper-V
Evidence & context ↗
12 / Publicly documented founder/programmer role

Product thinking & domain

From a concrete problem to a usable product. Connect engineering decisions with the workflows of the people using it.

  • Process modeling
  • Marketplace workflows
  • Requirements analysis
  • Prototyping
  • End-to-end delivery
Evidence & context ↗

What role fits this?

01 / Where I contribute

AI & Automation Engineer

Integrate AI into real business processes: state, approvals, APIs and recovery.

Relevant work samples ↗
02 / Where I contribute

Backend / Integration Engineer

C#/.NET, APIs, EDI and data flows for systems whose failures affect the business.

Relevant work samples ↗
03 / Where I contribute

Full-Stack / Product Engineer

Build and operate products from backend services to usable interfaces.

Relevant work samples ↗