Technical skills

AI engineering, data pipelines, LLM systems, and knowledge technologies.

A structured view of the technical areas Jenifer works across, from Python data engineering and machine learning to knowledge graphs, semantic web standards, and research communication.

AI & Machine Learning

  • Machine Learning
  • LLMs
  • RAG
  • Natural Language Processing
  • OCR
  • Document AI
  • Computer Vision
  • Model Evaluation

Knowledge Systems

  • Knowledge Graphs
  • Ontology Engineering
  • RDF
  • SPARQL
  • SHACL
  • Semantic Alignment

Data & Platform Engineering

  • Python
  • SQL
  • PostgreSQL
  • MongoDB
  • Docker
  • GCP
  • CI/CD
  • dbt
  • Data Pipelines
  • Workflow Automation

Research & Communication

  • Research Software
  • Technical Writing
  • Teaching
  • Public Speaking
  • Workshop Organization

AI · data engineering · applied research

Discuss an AI, data engineering, or research collaboration.

Reach out about roles, consulting conversations, research questions, or technical collaboration in Zurich, Switzerland, or remote teams.