Resume

Lukas Müller

Frankfurt am Main, Germanycontact@lukasmueller.devGitHubLinkedIn

Education

Bachelor of Science in Computer Science
Technical University of DarmstadtDarmstadt, HE
  • Current grade: 1.1 German scale (GPA: 3.9)
  • Exchange semester: Aarhus University, Denmark, Jan. 2026 – Jun. 2026
  • Elective courses: Robot Learning, Visual Computing, Markov Decision Theory, Machine Learning in Game Theory
Bachelor of Arts in Digital Business Management
Baden-Wuerttemberg Cooperative State UniversityMannheim, BW
  • Final grade: 1.2 German scale (GPA: 3.8)
  • Thesis: Conception of a Strategy to Increase Data Quality for a Predictive Analytics Application

Work Experience

Working Student Machine Learning & Data Engineering
Compredict GmbHDarmstadt, HE
  • Implemented a contrastive timestamp-embedding model in Keras and integrated it into a production Python package for time-series analysis and visualization
  • Developed Python packages for data quality and data labeling for high-frequency time-series data, including core logic, tests, and documentation
  • Built unit and integration tests for data pipelines in MWAA and FastAPI services to improve reliability of ML systems
Working Student Bioinformatics Research & Development
BioNTech SEMainz, RP
  • Developed a data pipeline transferring local research files to AWS (S3/Glue/Redshift) and making them accessible in a data warehouse
  • Extended a bioinformatics feature pipeline used for downstream machine learning workflows
Cooperative Education Student
Fresenius GroupBad Homburg, HE
  • Completed internship rotations in Project Management, Business Intelligence, and Process Mining

Projects

Cavitation Experiment Database (Team Project)
TU Darmstadt (Chair of Fluid Systems)
  • Built a TimescaleDB database replacing HDF5/JSON-based experimental data storage with a unified schema
  • Developed a documented Python API for ingestion and querying of experimental sensor and metadata
  • Set up unit/integration tests and GitLab CI/CD for linting, testing, and documentation deployment
  • Technologies: Python, PostgreSQL, TimescaleDB, GitLab CI/CD
MuJoPy
Open Source (GitHub/PyPI)
  • Built and published a Python package exposing MuJoCo models as robot graphs for ML workflows
  • Implemented robot-graph feature extraction and a Pytest-based test suite
  • Technologies: Python, MuJoCo, Pytest, PyPI
Large-Scale Robot Generation (Team Project)
Technical University of Darmstadt (Intelligent Autonomous Systems Group)
  • Built an MPNN-based variational autoencoder learning latent representations of robot morphologies in MuJoCo
  • Implemented training and evaluation workflows in PyTorch with experiment tracking in Weights & Biases
  • Technologies: Python, PyTorch, MuJoCo, Weights & Biases

Skills

ProgrammingPython, SQL, C++, Java
Data Engineering & BackendPostgreSQL, Apache Airflow/MWAA, FastAPI, AWS (Redshift/Glue/S3), Docker
Machine LearningPyTorch, TensorFlow, Keras, Weights & Biases
Testing & ToolingPytest, GitLab CI/CD, Python packaging, Polars, Pandas
LanguagesGerman (native), English (fluent), Spanish (basic)