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Abdulrahman Al-zoubi

Angestellt, Software Developer, Maids.cc
Damascus, Syrien

Fähigkeiten und Kenntnisse

SQL
Git
Python
NumPy
pandas
pyqt
flask
Software
Java
Database
REST
Computer Science
Spring Framework
Jira
Machine Learning
Deep Learning
Computer Vision
Natural Language Processing (NLP)
Apache Kafka
Apache Hadoop
Apache Kylin
Data Warehouse
OLAP
Desktop Applications
ETL
Docker
Understanding
Speed

Werdegang

Berufserfahrung von Abdulrahman Al-zoubi

  • Bis heute 2 Jahre und 1 Monat, seit Mai 2023

    Software Developer

    Maids.cc

    Studied data warehouse architectures and ETL tools to choose the appropriate solution for the use-case. Developed Online analytical processing (OLAP) cubes for reporting with Star Schema using Apache Kylin, Apache Kafka, and Hadoop. Worked on an ERP system as a backend engineer using Java Spring Boot. Contributed to the development, testing of the ERP system, integrating AI features to automate and optimize business processes. Worked on a Question-Answer chatbot using Chat-GPT and prompt engineering.

  • Bis heute 2 Jahre und 8 Monate, seit Okt. 2022

    Teacher Assistant

    Damascus University

    • Teaching students and evaluating their understanding and projects. • Courses: Graphics , Knowledge Base Systems • 4 hours a week of work

  • 1 Jahr und 4 Monate, Jan. 2022 - Apr. 2023

    Python Developer

    SAMD Solutions UG (haftungsbeschränkt)

    Hagan-designer : a desktop application to create gardens in 2D and 3D modes. • Analyzing, designing and Implementing features using Python, Pyqt5 and Panda3d • Working on refactoring and testing to ensure the flexibility and stability of the app. • Building a web API for users registration and authentication using Flask framework. • Technology : Python

  • 1 Jahr, Jan. 2021 - Dez. 2021

    Software Engineer

    FMS Tech

    Advanced Driver Assistance System (ADAS): deployed on Android devices - Integration of google object detection models using TensorflowLite. - Image enhancement and camera calibration for improved object detection. - Lane detection through image processing using OpenCv. Worked on a Driver Fatigue System that detects the driver's face and determines their fatigue status using image processing methods.

Sprachen

  • Arabisch

    Muttersprache

  • Englisch

    Fließend

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