Lisann Jill Morlok

CV

Résumé

AI Engineer — Building production-oriented AI workflows, data platforms, and the backend systems behind them.

About

Profile

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.

Highlights

At a Glance

  • 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.
  • Designs end-to-end LLM and RAG pipelines for internal AI systems, from prototype through to production deployment.
  • Built a Dash web application and REST API for visualising and interacting with a freshly migrated relational database.
  • Implements prompting, retrieval, embedding, vector search, and evaluation workflows for AI-supported systems.

Career

Experience

  1. advasolutions

    April 2026 – Present

    Working Student, AI Engineering

    AI Engineering · Munich, Germany

    • Design end-to-end LLM and RAG pipelines for internal AI systems, from prototype to production deployment.
    • Build data pipelines, external API integrations, and automated knowledge workflows for AI use cases.
    • Implement prompting, retrieval, embedding, vector search, and evaluation workflows for high-quality AI-supported systems.

  2. BMW Group

    March 2025 – February 2026

    Working Student, Software Engineering

    Software Engineering · Munich, Germany

    • Led data migration and system integration work to transfer historically grown legacy data into a clean relational target structure.
    • Developed Python scripts to automate transformation, cleansing, and validation of inconsistent Excel-based source data.
    • Built a new relational database integrating over 100,000 structured records from legacy systems.
    • Developed a Dash web application and REST API for data visualisation and interaction with the database.
    • Integrated external APIs and similarity analysis to enrich part data and map outdated naming conventions.

  3. SEMEDY GmbH

    April 2021 – September 2021

    Working Student, Parser Development

    Parser Development · Karlsruhe, Germany

    • Developed Python parsers extracting structured data from APIs and heterogeneous sources.
    • Implemented validation and transformation pipelines improving data reliability.

Academic Background

Education

  1. Technical University of Munich

    2024 – Present

    M.Sc. Informatics

    Machine Learning, Data Analytics, Simulation and Modeling

    • Specialising in machine learning, data analytics, and simulation and modeling.
    • Coursework focused on backend systems, data engineering, and applied machine learning.

  2. Karlsruhe Institute of Technology

    B.Sc. Computer Science

    Computer Science

    • Completed a Bachelor of Science in Computer Science, covering the foundations of software engineering, algorithms, and data structures.

Toolbox

Skills

Languages and Frameworks

6 skills

Python · Java · SQL · JavaScript · FastAPI · Dash

AI and Machine Learning

10 skills

LLM systems · RAG architectures · embeddings · vector search · prompting · retrieval · evaluation workflows · regression · clustering · neural networks

Data Engineering

7 skills

Database design · ETL pipelines · data migration · transformation · cleansing · validation · external API integration

Cloud and Tooling

4 skills

Microsoft Azure · Git · Docker · Agile (Scrum)

Spoken

Languages

  • German Native
  • English Fluent
  • Spanish Fluent
  • French Intermediate
  • Chinese Basic

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