AI & LLM Systems
LLM Pipelines · RAG Architectures · Embeddings · Vector Search · Prompting · Evaluation Workflows
ExploreAI Engineer
Lisann Jill Morlok
Building production-oriented AI workflows, data platforms, and the backend systems behind them.
Currently — Working Student, AI Engineering at advasolutions
100,000+ structured records 3 engineering roles 5 languages spoken 100,000+ structured records 3 engineering roles 5 languages spoken 100,000+ structured records 3 engineering roles 5 languages spoken
What I Work With
Practice Areas
Four groups, in the order they sit in the CV's core stack — each one links to real work below or on the full résumé.
Portfolio
Selected Work
Legacy Data Migration Platform
A relational data platform consolidating historically grown legacy records into a clean target structure, with a Dash front end and REST API for exploration.
View projectMachine Learning Pipeline
A supervised and unsupervised modelling pipeline in Python, covering feature engineering, hyperparameter tuning, and cross-validated evaluation.
View projectQuantitative Trading System
A modular Python trading framework with market-data API integration, a backtesting engine, and position-level risk management.
View projectAbout
M.Sc. Informatics student at the Technical University of Munich, specialising in backend systems, data engineering, and applied machine learning.
Experienced in building scalable data platforms, production-oriented AI workflows, and analytical applications with Python, FastAPI, Dash, and relational databases.
100,000
structured records
integrated into a new relational database built from historically grown legacy systems at BMW Group.
3
engineering roles
across AI engineering, software engineering, and parser development at advasolutions, BMW Group, and SEMEDY GmbH.
5
languages spoken
German natively, English and Spanish fluently, plus French and Chinese.