Julian von der Goltz

ML systems architect specializing in end-to-end machine learning and deep learning solution development. I build reliable, production-grade systems from concept to deployment with a focus on computer vision and LLM applications. My combined background in aerospace engineering and practical AI implementation allows me to bridge theoretical possibilities with business realities.

Interested in adding my expertise to your projects? Contact me at [email protected]!

Interests and Specializations

Leveraging my expertise in AI and automation, I help companies unlock the true potential of their operations. Imagine a unified, always-current knowledge base accessible via an intelligent conversational interface, or the automation of tedious manual data entry that liberates valuable human resources. My tailored solutions transform cumbersome processes into seamless, efficient workflows—driving increased productivity and innovation across your organization.


Skills

Here’s a brief overview of the technical areas I specialize in:

Software Engineering

PythonTypeScript/JavaScriptNodeJSExpressJS

Platforms & Delivery

GitPostgreSQLCI/CDDockerKubernetesTerraformGCPAWSAzureScrum/Agile

Data & AI

PyTorchTensorFlowNLPGenerative AI (LLMs)RAG SystemsModel Development/Training/EvaluationProduction DeploymentMLOpsMLflow

Computer Vision

Image ClassificationObject Detection3D VisionOpenCV

Professional Experience

KickstartAI

Machine Learning Engineer · 2025 - present

  • Consultancy role in a non-profit helping community efforts and industry partners (ING, KLM, Ahold Delhaize, NS) adopt AI.
  • Projects: retrieval-augmented financial-health chatbot; hospital wound-reporting tool.

VDG Engineering & Technology

Self-employed (ZZP) · 2022 - 2025

  • LLM fine-tuning: Mistral-7B on historical Dutch literature (DBNL).
  • RAG search for space standards.
  • News clustering with LLM summarization.
  • LLM-based web-crawl agent for personalized search.

Mainblades Inspections

Lead Engineer, Vision & AI · 2018 - 2025

  • Led development and business implementation of AI solutions; acted as multi-disciplinary system architect reducing aircraft inspection time from eight hours to 20 minutes.
  • Built partnerships with Delta Air Lines, Blue Origin, Lufthansa, and KLM.
  • Highlights: PyTorch damage-detection models; in-house ML stack (Airflow, Docker, Seldon Core); backend contributions (NodeJS/ExpressJS); scalable architecture on GCP/Kubernetes.

Education

Delft University of Technology

MSc. Systems and Control (cum laude) · 2016 - 2019

Thesis: “Classification of Damages on Aircraft Inspection Images Using CNNs”.

Thesis

Delft University of Technology

BSc. Aerospace Engineering (cum laude) · 2012 - 2016


Contact

[email protected]


Resume

CV (PDF)