Smart EV Route Planning App — Bosch Digital Hackathon (2024)
Built a cloud app for optimal electric vehicle route planning, combining the Google Gemini and Maps APIs to balance range, charging stops and travel time.
Let the data speak to you
A passionate Python developer—turning raw data into clear, valuable insights and production-ready pipelines.
Moin, I'm Lukas
I’m a Data & Machine Learning Engineer with a physics background, building large-scale cloud data pipelines and ML systems.
Focus: Kubernetes, PySpark, Databricks, MLflow, TensorFlow. Looking for roles in data engineering, ML engineering or backend development.
Projects & Highlights
Vehicle Health Developer Framework — Robert Bosch GmbH (2023–2024)
Designed a reusable Python framework that standardized project structure, tooling and CI/CD, helping developers ship consistent, well-tested code.
Experience
Software Engineer, Automated Driving — Robert Bosch GmbH (2024–Present)
- Engineer petabyte-scale data pipelines (~15 PB/month) on Kubernetes with Argo Workflows, Dagster and KEDA, powering data products for 10–20 teams within a 1,200-developer program.
- Cut workflow runtimes up to 3× (3h → 1h) by refactoring pipelines and tuning autoscaling across ~4,000 compute nodes.
- Own reliability and scalability of the framework, from PostgreSQL data models to CI/CD and observability.
- Responsible for migrating legacy pipelines to new infrastructure.
Software & Function Developer, Predictive Diagnosis — Robert Bosch GmbH (2023–2024)
- Built PySpark/SQL data pipelines on Databricks that turn raw vehicle signals into analysis-ready datasets.
- Developed and tracked predictive-diagnosis ML models end to end using Python, MLFlow and Git.
Working Student — Q.ANT (2021–2022)
- Developed Python tooling to analyze experimental data and COMSOL simulations for non-linear optics research.
Education
MSc Physics — University of Stuttgart (2020–2022)
Master thesis: Construction of inter‑atomic potentials using active learning strategies. Implemented ML algorithms in Python. GPA: 1.5
BSc Physics — University of Stuttgart (2016–2020)
Abitur — Eugen-Bolz Gymnasium Rottenburg (2015)
Skills & Interests
Technical
- Programming: Python, SQL
- Data & ML: PySpark, Databricks, TensorFlow, MLFlow, Dagster
- Cloud & DevOps: Kubernetes, Argo Workflows, KEDA, PostgreSQL, Azure DevOps, Git, CI/CD
- Dev tools: Ruff, MyPy, Pytest, uv
Languages & Interests
- Languages: German (native), English (fluent)
- Interests: LLMs, software architecture
- Drums, ballroom & hip‑hop dancing