At Olympus EMEA, I build and maintain dbt models in Snowflake to standardize data for downstream reporting. I also develop n8n automations for recurring data pipelines.
Earlier at Olympus EMEA, I led development of a shared data quality framework for reports using MS Fabric and deployed automated ML pipelines on Azure. I built time-series forecasting models in Python and maintained Power BI reports.
At Adastec Corp, I worked on LIDAR and GNSS calibration and constructed pointcloud maps using SLAM for localization on HD maps. As a Localization and Vehicle Interface Intern, I developed a UDP protocol for retrieving traffic light states and remaining durations from infrastructure.
My projects include a real-time Reddit sentiment pipeline using Apache Kafka and Apache Flink, and a custom Pong game using DQN and PPO that achieved a 70% win rate. I’m pursuing an M.Sc. in Computer Science at Technische Universität Hamburg.
