29.09.2025 aktualisiert
AI Engineer & Data Scientist
Meerbusch, Deutschland
Weltweit
PhD, Promotion in quantitativem Risikomanagement, Dipl.-Kfm., MBA (USA), Bankkaufmann, MBA (USA)Über mich
- AI Automation Engineer - background in data science, LLMs, and intelligent automation - focus on full-stack deployment, RAG workflows, and secure API orchestration - Ready to contribute scalable and robust AI systems that translate complex research into tangible real-world applications.
Skills
ProgrammierungAzuredata scienceRisikomanagementKreditsystemeVersicherungen und BankenEnergiePharmaR and Pythonh2o.ai
- Technical Skills
Programming Languages
Python, R, PowerShell, Bash
Front-End Development
HTML, CSS, Flask, Plotly, Dash,
Shiny, RESTful API's, JavaScript
Database & Vectorstore
SQLite, DuckDB, LanceDB,
ChromaDB, FAISS
Agent-Frameworks
LangGraph, LangChain, AutoGen
Server Configuration
Ubuntu, Docker, NGINX, Certbot
CD/CI
Git, Github, BitBucket
Soft Skills
Problem-solving
Teamwork & sense of
responsibility
Initiative & self-motivation
Analytical thinking
Sprachen
DeutschMutterspracheEnglischgut
Projekthistorie
- Automated manual tasks of a law firm
- Coded Backend in Python with following functions:
- Deployment on AWS
- Coded Backend in Python with following functions:
- Automated pdf parsing
- Automated Entry into SQL-database
- Automated Retrieval Augmented Generation
- Automated Letter Creation including Address, Production Specifications, Amounts etc. from SQL Database
- Deployment on AWS
Optimizing Sampling Approach in R and Python
Harmonizing SQL Code
Code Documentation
Developing Front- and Backend for Production
Harmonizing SQL Code
Code Documentation
Developing Front- and Backend for Production
Metalearner to predict which forecasting model is the best fit for which type of time series
Top 4 Audit company
R-Programming
Dashboard in R-Shiny
Top 4 Audit company
R-Programming
Dashboard in R-Shiny