Professional Summary

Senior AI engineer with 10+ years of experience delivering end-to-end AI and data solutions across enterprise and startup environments. Deep expertise in modern LLM technologies, production-ready systems, and cloud-native architectures. Proven track record in building scalable ML pipelines, leading technical teams, and deploying AI applications from concept to production.

Core Competencies

AI & ML Engineering:

Large Language Models (LLMs), Transformer architectures, Neural networks, Time series forecasting, Causal modeling

Data Engineering:

ETL/ELT pipelines, Data modeling, dbt, PySpark, Cloud-native architectures

Cloud Platforms:

Google Cloud Platform (Vertex AI, BigQuery), Azure (Databricks), AWS

Development & Operations:

Python, R, FastAPI, API design, CI/CD, Production deployment, DevOps

Frameworks & Tools:

LangChain, LangGraph, TensorFlow, Keras, Scrapy, n8n, Dataiku, Tableau

Machine Learning

sklearn, keras, tensorflow, bnlearn, H2O, pyspark

Tools

Dataiku, AWS, Jupyter, Docker, Tableau

Kausale Modellierung

bnlearn, dowhy, cdt, causalml

Professional Experience

2016 ? 2019

Role: Lead Data Scientist & Team Lead

Customer: Endlich GmbH

Tasks:

• Built and scaled data science practice from inception, establishing best practices and technical standards
• Managed team of four data engineers while coordinating multiple concurrent client projects
• Delivered end-to-end analytics solutions across diverse industries and use cases

2014 ? 2016

Role: Marketing Campaign Manager

Customer: TeamBank

Tasks:

• Led data-driven marketing initiatives and advanced analytics programs
• Optimized campaign performance through predictive modeling and A/B testing frameworks