Mohamed Abdel Maksoud

About Me

I’m a Doctoral Researcher in the D²IP Group at BIFOLD, TU Berlin, working under Prof. Dr. Ziawasch Abedjan since April 2025. My research focuses on data integration, data cleaning, and anomaly detection in large-scale systems.

I hold a Master’s degree in Information Technology from the University of Stuttgart, where I worked on robust anomaly detection in time series using adaptive model selection. My work spans machine learning, NLP, and data engineering — from scalable dashboard development and user profiling to production-level ML pipelines.

Education

• PhD in Data Science – Technische Universität Berlin, Germany
  April 2025 – Present

• MSc in Information Technology (INFOTECH) – University of Stuttgart, Germany
  October 2022 – September 2024

• BSc in Information Engineering Technology (Networking) – German University in Cairo (GUC), Egypt
  October 2017 – July 2022

Work Experience

• Doctoral Researcher at TU Berlin
  April 2025 – Present, Berlin, Germany
  Working on data quality and error detection in data integration systems.

• AI & Computer Vision Intern at Korro AI GmbH
  October 2024 – March 2025, Darmstadt, Germany
  Developed dashboards and ML models for detecting engagement issues in digital therapy platforms for children.
  Technologies used: Dash, BigQuery, SQL, Python, Machine Learning

• Machine Learning & NLP Engineer at DIBUCO GmbH
  September 2023 – October 2024, Stuttgart, Germany
  Designed scalable ML solutions and NLP models for Big Data retrieval and document analysis. —

Teaching

• Teaching Assistant – Programmierpraktikum: Datensysteme (Efficient Duplicate Detection)
  TU Berlin, summer Semester 2025

• Tutor – Advanced Higher Mathematics
  INFOTECH Master’s Program, University of Stuttgart
  October 2023 – April 2024

• Tutor – IoT Fundamentals
  German University in Cairo
  October 2021 – April 2022