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.
A passionate Python developer—turning raw data into clear, valuable insights and production-ready pipelines.
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.
Built a cloud application to find optimal routes for electric vehicles using Python and Google APIs. Focused on real‑world constraints and performance.
Developed Python templates and frameworks for vehicle data diagnostics: CI/CD, PyLint, MLflow integration and reproducible developer tooling.
Applied ML and Bayesian statistics for research projects and my Master’s thesis; developed simulation methods and data analysis pipelines.
Master thesis: Construction of inter‑atomic potentials using active learning strategies. Implemented ML algorithms in Python. GPA: 1.5
Bachelor thesis: Simulation of high frequency modes in Corbino samples.