Let the data speak to you

A passionate Python developer—turning raw data into clear, valuable insights and production-ready pipelines.

Portrait of Lukas Aigner

Moin, I'm Lukas

I’m a Python developer who loves turning raw data into clear, valuable insights—data engineering, applied ML and reproducible pipelines.

Focus: PySpark, AWS, MLflow, TensorFlow, clean code.

Projects & Highlights

Smart EV Route Planning App — BCW Hackathon (2024)

Built a cloud application to find optimal routes for electric vehicles using Python and Google APIs. Focused on real‑world constraints and performance.

Vehicle Health — Robert Bosch GmbH (2023–2024)

Developed Python templates and frameworks for vehicle data diagnostics: CI/CD, PyLint, MLflow integration and reproducible developer tooling.

Research & Analysis (University)

Applied ML and Bayesian statistics for research projects and my Master’s thesis; developed simulation methods and data analysis pipelines.

Experience

Software & Function Developer — Robert Bosch GmbH (2023–today)

  • Data engineering for processing vehicle data in the cloud using PySpark and SQL on AWS.
  • Applied data science for (predictive) diagnostics using Python and MLflow.
  • Agile software development using JIRA.

Working Student — Q.ANT (2021–2022)

  • Set up experiments for non‑linear optics and implemented Python algorithms to analyze experimental data.
  • Simulated non‑linear optics using COMSOL.

Assistant Teacher — University of Stuttgart (2019)

  • Supervised lab experiments and assisted students with practical exercises.

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)

Bachelor thesis: Simulation of high frequency modes in Corbino samples.

Skills & Interests

Technical

  • Languages: Python (Pandas, PySpark), SQL, R
  • ML / Data: TensorFlow, MLflow, Bayesian analysis
  • Tools: Git, Docker, CI/CD, AWS
  • Other: JSON, Linux, Microsoft Office

Languages & Interests

  • Languages: German (native), English (fluent)
  • Interests: Machine Learning, LLMs, Bayesian statistics
  • Software architecture, reproducibility, data storytelling
  • Ballroom & Hip‑Hop dancing

Contact

Find me on GitHub · LinkedIn