Dina Aladawy

Munich, Germany

• Leading the AI Innovation Strategy Prototyping team, responsible for identifying outside-in AI trends, prototyping new AI technologies, matching them with relevant BMW use cases and transferring them to the series development.

Munich, Germany

• Designed and implemented robust ETL pipelines for connected fleet monitoring, leveraging various data inflow and outflow channels, and cross-correlating metrics to generate key performance indicators.
• Developed interactive dashboards tailored to management and fleet operators, enabling a 78% reduction in time required for field anomaly detection, analysis, and resolution across US and EMEA customer fleets.

Munich, Germany

• Implemented a proof of concept for a new streaming data channel from vehicle to backend.
• Designed a data ingest architecture for fleet monitoring based on latency metrics — this work became the seed of a new product: Vehicle Operation Services.

Mountain View, USA

• Partnered directly with in-vehicle experience designers to make their vision tangible through hardware and software prototypes.
• Developed directly on vehicle systems and wrote code to control various in-vehicle control units.

• MIT: 6.S094 Deep Learning for Self-Driving Cars (Feb 2019)
• TUM: Fundamentals of Databases (Oct 2016 – Feb 2017)
• TUM: Introduction to Computer Architecture & Organization (Oct 2014 – Feb 2015)