Christian Krudewig

Christian Krudewig

Principal MLOps Engineer & Software Architect

I help engineering teams turn machine learning prototypes into reliable, production-grade systems — and build the tools and processes that let them keep moving fast.

  • MLOps / AIOps
  • Software Architecture
  • Software Engineering

About me

From economics through operations research to software and AI engineering, I’ve always focused on solving real-world problems with technology. I’ve built and scaled machine learning systems, designed robust software, and transformed high-maintenance systems into simpler, more dependable solutions. My passion lies in exploring new tools and methods, but I always prioritize functionality, reliability, and tangible impact:

“Build with curiosity, then simplify, automate and start over.”

Tech Stack

The tools and technologies I reach for most. I favour open-source, cloud-native software and pick the right tool for the problem rather than the other way around.

Programming Languages

  • Python
  • Rust
  • C++
  • Go
  • JavaScript

Machine Learning

  • MLflow
  • scikit-learn
  • TensorFlow
  • LightGBM
  • ONNX
  • vLLM

Infrastructure & DevOps

  • Kubernetes
  • Helm
  • Kustomize
  • ArgoCD
  • Docker
  • Terraform / OpenTofu
  • Ansible
  • Google Cloud
  • Azure

Databases & Streaming

  • PostgreSQL
  • Cassandra / ScyllaDB
  • MongoDB
  • Redis
  • Apache Spark
  • Apache Flink
  • Apache Kafka / Redpanda
  • Airflow
  • OpenSearch
  • Qdrant
  • Milvus

Observability

  • Prometheus
  • Grafana
  • OpenObserve
  • OpenTelemetry
  • Phoenix
  • Uptime Kuma

Workflow & Pipeline Orchestration

  • N8n
  • Kubeflow
  • Airflow
  • Temporal
  • Apache Flink

Career

10+ years designing, scaling, and operationalizing AI systems in production — from traditional ML pipelines to modern agentic solutions.

  1. since 2023

    Principal Machine Learning Operations Engineer

    Deutsche Post DHL — Data & AI

    Leading an international MLOps team that productionizes and operates ~30 AI systems — real-time APIs, batch pipelines, and agentic solutions.

    • Technical Lead
    • MLOps
    • Architect
    • Coaching
  2. 2020 – 2023

    Software Architect & Machine Learning Engineer

    Deutsche Post DHL — Data & Analytics

    Architecture and reliability of two high-traffic ML products serving millions of requests per day at 24/7 availability.

    • Architect
    • High Availability
    • Kubernetes
    • Streaming Pipelines
  3. 2017 – 2020

    Data Scientist & ML Engineer

    Deutsche Post DHL — Data & Analytics

    Built a text-classification solution for customs, taking on ML engineering and product owner roles.

    • Machine Learning
    • NLP
    • DevOps
    • Product Ownership
  4. 2013 – 2017

    IT Project Manager & Data Scientist

    ALDI Süd International IT

    Managed international software projects for stores and warehouses; owned replenishment and inventory products; prototyped analytics use cases.

    • Project Management
    • Product Owner
    • Data Mining
    • BI
  5. 2009 – 2013

    Researcher & Lecturer (PhD)

    University of Eichstätt-Ingolstadt

    Research and teaching at the Chair of Supply Chain Management & Operations, alongside a PhD on transport and capacity planning.

    • Operations Research
    • Simulation
    • Teaching
    • Optimization

Education & Certifications

The formal background behind the hands-on experience.

Education

  • Dr. rer. pol. — PhD, Supply Chain Management & Operations, University of Eichstätt-Ingolstadt
  • Dipl.-Vw. — Economics, University of Cologne

Certifications & Training

  • iSAQB Certified Professional for Software Architecture (CPSA-F) + advanced trainings
  • Marvelous MLOps with Databricks (end-to-end MLOps)
  • ISTQB Certified Tester (Foundation Level)
  • Scrum Master & Product Owner (advanced)
  • Cambridge English Certificate Level C2

Let's talk about your next challenge

Whether you have a concrete project in mind or just want a second opinion, I’m happy to help.

Get in touch