ACAbdul-Hamed Chribati
@abdulhamedchribati
Data Engineer specializing in scalable ML systems and automation pipelines.
GermanyWhat I'm looking for
I am a Data Engineer with extensive experience in building scalable machine learning systems, particularly in natural language processing and automation pipelines. My journey began with a Bachelor of Science in Computer Science from the Technical University of Dortmund, where I focused on text-based recommendation systems. Since then, I have honed my skills in developing robust, GPU-accelerated training workflows and containerized deployments.
At adesso SE, I have successfully developed and maintained automated ETL/ELT pipelines, significantly reducing manual intervention and increasing throughput. My role has involved collaborating closely with analytics and QA teams to ensure data integrity and reliability across various projects. I am passionate about leveraging open-source innovations and generative AI to create intelligent systems that address real-world challenges.
Experience
Work history, roles, and key accomplishments
QA Data Engineer
Adesso SE
Jul 2024 - Present (11 months)
Developed and maintained automated ETL/ELT pipelines using AbInitio, Python, and Bash, reducing manual intervention and increasing throughput by 40%. Diagnosed and resolved data pipeline failures across staging, core, and mart layers to enhance reliability.
ML/Data Engineer
Vecura GmbH
Apr 2024 - Present (1 year 2 months)
Built an AI-driven PDF parsing pipeline using PyTorch, TensorFlow, Mistral AI, DeepDoctection and FastAPI for layout-aware document analysis. Engineered robust preprocessing pipelines for text extraction and normalization, ensuring clean, consistent inputs for downstream NLP models.
QA Data Engineer
S-Payment GmbH
May 2023 - Present (2 years 1 month)
Built DAGs in Apache Airflow for orchestrating data pipeline dependencies and monitoring execution. Built a QA Management framework using Python, Pytest, AWS, Playwright, and Cypress to automate validation of data transformations prior to deployment.
QA Data Engineer
S-Payment GmbH
Oct 2022 - Present (2 years 8 months)
Developed automated validation pipelines using Python, PySpark, and Airflow. Built scalable testing frameworks with Cypress and Cucumber, increasing release confidence by 30%.
Software Developer
Adesso SE
Feb 2022 - Present (3 years 4 months)
Designed scalable APIs to support real-time access to multimedia data for ML models; enabled integration of inference services in production pipelines using Python, Tensorflow, Pytorch and Feast. Implemented chatbot integrations using Dialogflow and Python for automated client support.
Research Associate
TU Dortmund
Apr 2021 - Present (4 years 2 months)
Developed interpretable ML models using PyTorch and TensorFlow to enhance model transparency. Visualized attention maps and neural activations to support explainability in NLP tasks.
Software Developer
Task9 GmbH
Oct 2018 - Present (6 years 8 months)
Built multilingual NLP tools using BERT and AST-Fingerprinting (ANTLR), Pandas, scikit-learn and Mozilla DeepSpeech for a code plagiarism detector and speech-to-text analysis. Engineered web crawlers and automation tools with Python and Flask.
Education
Degrees, certifications, and relevant coursework
Technical University of Dortmund
Bachelor of Science, Computer Science
Completed a Bachelor of Science in Computer Science. The thesis focused on text-based recommendation systems for the ARD Media Library.
Availability
Location
GermanyAuthorized to work in
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