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Michael Reinhofferloading
Best experienced with sound
Heidelberg / Mannheim, Germany

Cloud Architect × Applied AI Engineer

I build cloud-native AI systems, agentic workflows, and polished technical products from ambiguous ideas.

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(01) What I build

Three disciplines thatkeep meeting in the work.

01

Cloud Systems

Multi-cloud architecture, infrastructure as code, and the reliability work that keeps regulated platforms standing.

  • Azure
  • GCP
  • OTC
  • Terraform
  • Kubernetes
02

Applied AI

Agentic pipelines, LLM routing, retrieval, evaluation, and the automation that actually puts models to work.

  • Agents
  • LLM routing
  • RAG
  • Evaluation
03

Tasteful Products

Interfaces and demos with restraint and craft, where the engineering is felt rather than explained.

  • Next.js
  • R3F
  • Design systems

(02) Selected work

Projects as proof.

A few systems worth showing, with more on the way. Each one is real engineering, not decoration.

01
2025–2026Internal

Symphony

Applied AI · Regulated finance

An agentic pipeline that turns a Jira ticket into a reviewed merge request.

~30%faster delivery cycle

  • Agents
  • Kubernetes
  • GCP
  • GitLab CI
  • LLM routing
02
2025–2026Archived

MedShield AI

Privacy engineering

A PII anonymization proxy for German healthcare. Shut down on purpose.

  • FastAPI
  • React
  • NER
  • Local LLM
  • GDPR
Archived by choice
03
2025–2026In progress

PostPulse

Applied AI

AI-assisted social scheduling, built mostly by agents.

  • SaaS
  • Automation
  • Agents
In progress
04
2026Live

This Site

Creative engineering

The portfolio you are looking at. Built as its own artifact.

  • Next.js
  • React Three Fiber
  • GSAP
  • Design systems
Live · this page

(03) Featured case study

Symphony

~30%faster delivery cycle

Symphony is an agentic CI/CD pipeline built inside a BaFin- and DORA-regulated financial-services environment. It takes a written ticket, runs autonomous coding agents on Kubernetes, routes work across models by complexity, and opens a reviewed merge request, keeping a full audit trail so every change stays traceable and compliant.

  • Autonomous coding agents on Kubernetes, with ephemeral sessions and a self-healing reconciler loop.
  • Model routing by complexity: a lighter model orchestrates, a stronger model plans.
  • A full audit trail across the issue tracker, the cluster, and the database, kept in agreement.
Read the case study →

Ticket to merge request

TicketPlanAgentsReviewMRinputreviewed change

(04) Off the clock

Most of my best work happens between 30 Chrome tabs, late-night music, and the determination to make it work.

I build best in the quiet hours, with headphones on and one problem in front of me. The taste shows up in the same places whether it is a system or a sound: restraint, timing, and the parts most people skip.

Headphones on
Michael at his desk at night, headphones on, focused on the screen
Perspective

Life is all about perspective

(05) About

The person behindthe systems.

Role
Cloud engineer
Focus
Applied AI + Cloud Infrastructure
Based
Heidelberg / Mannheim, DE

I am 27, and when I do something I do it with full force, and it shows wherever I put that energy, whether it is the gym, gaming, or building AI systems. Underneath it I am calm and reflective, more likely to think something through than react to it. I have a soft spot for Dobermans, chocolate, and caffeine.

My current focus is applied AI: agentic pipelines, workflow automation, retrieval, evaluation, and the product layer around intelligent systems. Symphony, an agent that turns tickets into reviewed merge requests inside a regulated estate, is where most of that thinking currently lives.

(06) Contact

Want to see howI think and build?

© 2026 Michael ReinhofferBuilt from scratch · Next.js + R3F