- Project: Pricing of used BMW and MINI cars for 12 European markets using an E2E ETL and ML pipeline deployed on AWS.- Lead Cloud Architect and Data Engineer responsible for delivering the backend of a new project aiming to standardize reporting and steering across 12 European markets.- Tools: Python, AWS, Docker.

- Created an ETL pipeline using Pandas and multithreading.- Used SQL for querying the data and delivering insights.- Tools: Python, Pandas, SQLite.

- Topic: "Improving Robustness of Semantic Segmentation for Autonomous Driving."- Contributed to ArchitectECA2030.- Tools: Python, PyTorch, PyTorch Lightning, WandB, Optuna, AWS.

- Worked on data preprocessing and visualization of COVID-19 vaccination data. - Worked on the development of a tree-based model to identify optimal product promotion channels.- Tools: Python, Pandas, NumPy, scikit-learn, Microstrategy.

- Project: "Geometric Deep Learning on 3D Models: Classification for Additive Manufacturing."- Goal: Classification of geometrical shapes printability.- Tools: Python, PyTorch, PyTorch Lightning, Open3D.

- Worked on a data augmentation project on 3D models.- Tools: Python, NumPy, PyMesh, Open3D, Kaolin, AWS.

- Worked on a time series forecasting project for Ducati. - Worked on data preprocessing, tree-based learning, and deep learning. - Tools: Python, NumPy, Pandas, SciPy, PyTorch, LightGBM, AWS.

- Joined a JavaEE web development training program. - Chosen for an early exit from the program to join the development team of a live website for the Ministry of Housing. - Handled change requests and bug fixes. - Tools: JavaEE, MySQL.

- Fixed issues and integrated new features to the backend of a traffic reporting application. - Tools: GoLang, Node, Python, PostgreSQL, MySQL.