AI Engineer

Dina Aladawy

Computer Scientist building AI prototypes and data systems at BMW Group.
Formerly a visiting researcher at MIT. Valedictorian. DAAD Scholar.

Munich, Germany · German · English · Arabic
AI Prototyping Data Engineering Connected Fleet Machine Learning MIT Research
Dina Aladawy

Diligent and experienced Data & AI Engineer with a track record of diving into the most unstructured and voluminous datasets and generating valuable, novel insights from them. Deep expertise in connected vehicle fleet monitoring, ETL pipeline design, and field anomaly detection. Currently channeling that foundation into AI prototyping and innovation strategy at BMW Group.

Experience

AI Prototyping Engineer

BMW AG — AI Innovation Strategy

Jan 2026 – Present

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.

Senior Data Engineer

BMW AG

Nov 2021 – Dec 2025

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.

Backend Engineer

BMW AG

Nov 2020 – Nov 2021

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.

Prototyping Engineer, Experience Design Lab

BMW North America LLC

Jun 2019 – Nov 2019

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.

Teaching Assistant

Massachusetts Institute of Technology & Technical University of Munich

2014 – 2019
  • 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)

Education

M.Sc. Software Engineering

Elite Graduate Program

Technical University of Munich · Ludwig-Maximillian University · University of Augsburg

Oct 2016 – Mar 2020

Grade: 1.26  |  Thesis: Anomaly Detection on Temporal Data

Visiting Researcher

Massachusetts Institute of Technology, Cambridge, USA

Apr 2018 – Apr 2019

Supervisor: Dr. Lex Fridman  |  Research: Human-Machine Interaction for (semi-)autonomous vehicles — driver trust, emotion recognition, non-verbal communication between pedestrians and drivers.

B.Sc. Computer Science

Minor: Psychology

Technical University of Munich

Oct 2013 – Sep 2016

Grade: 1.4  |  Thesis: Gamification for Teaching Social Engineering Defenses

Exchange Semester

Nanyang Technological University, Singapore

Aug 2015 – Dec 2015

Courses: AI, Neural Networks, Data Analytics & Mining, HCI, Biological Psychology

Abitur

Valedictorian

Deutsche Schule der Borromäerinnen, Alexandria, Egypt

2013

Grade: 1.0 (US GPA 4.0)

Publications

  1. Aladawy, D., Glazer, M., Terwilliger, J., Schmidt, H., Mehler, B., Riemer, B., and Fridman, L. (2019). Eye contact between pedestrians and drivers. Driver Assessment Conference, 2019.

  2. Schmidt, H., Terwilliger, J., Aladawy, D., and Fridman, L. (2019). Hacking nonverbal communication between pedestrians and vehicles in virtual reality. Driver Assessment Conference, 2019.

  3. Aladawy, D., Beckers, K. and Pape, S. (2018). PERSUADED: Fighting Social Engineering Attacks with a Serious Game. International Conference on Trust and Privacy in Digital Business, Springer, Cham.

Tech Stack

Cloud Services

AWS EC2AWS EMRAWS ECR AWS ECSAWS LambdaAWS S3 AWS Code PipelinesAWS Code Deploy

Big Data Processing

PySparkPythonSQL KafkaAWS KinesisAWS Glue AWS AthenaAWS Data Wrangler

ML Operations

AWS SageMakerAWS StepFunctions PyTorchPandasNumPy MatplotlibJupyter NotebooksTerraform

Data Visualization

AWS QuickSightAWS OpenSearch ElasticsearchDatadog

Honors & Awards

  • 2024 One Young World Delegate on behalf of BMW Group
  • 2017–2020 BMW Fastlane Scholarship Program
  • 2016–2020 DAAD Full Scholarship for Graduate Studies
  • 2013–2016 DAAD Full Scholarship for Undergraduate Studies
  • 2016 Grace Hopper Celebration of Women in Computing Scholarship by the IFF
  • 2014 Member of best.in.tum — top 2% of Computer Science students at TUM

Get in Touch

Open to interesting conversations, collaborations, and opportunities.

hello@dinaaladawy.com LinkedIn