Description

ML Engineer and Computer Vision specialist with 3+ years of experience building and deploying AI systems across industrial and enterprise environments. Currently a Consultant at Machine Learning Reply in Berlin, working on predictive ML models, RAG-powered chatbot architectures, Vertex AI vision systems, and Power BI dashboards. Previously developed deep learning-based PCB inspection systems at HELLA Aglaia and BMS-Elektronik, covering the full pipeline from data labeling and model training to deployment and MLOps. Holds a Master of Engineering in Embedded Systems from Beuth University Berlin and a BSc in Production Engineering from the German University in Cairo. Trilingual in Arabic, English, and German. Passionate about solving real-world problems at the intersection of machine learning, computer vision, and software engineering.

Languages

Arabic
Native or bilingual
English
Native or bilingual
German
Fluent

Workplace preferences

Remote only

Primarily works remotely

Machine Learning Reply GmbH
Consultant
April 2025 - Today (1 year and 3 months)
Berlin, Germany
Developed and deployed ML models (XGBoost, Random Forest) on the C3.ai platform for cement compressive strength prediction, with EDA, hyperparameter optimization, and interactive frontend dashboards for monitoring.
Designed an intelligent RAG chatbot powered by GPT-4, OpenAI embeddings, and FAISS with a novel per-document vector space architecture and semantic routing layer, enabling adaptive context-aware responses via a FastAPI backend with SSE.
Led a machine vision initiative — designing data labeling pipelines with Label Studio, training and fine-tuning AI inspection models, and deploying them via Vertex AI and Google Cloud for automated quality control, with ongoing MLOps monitoring and model performance tracking.
Built a live-updating Power BI dashboard integrated with BigQuery for real-time business intelligence.
Created a Python-based EU AI Act compliance framework embedded into an AI agent for automated regulatory validation.
Maintained Generative AI pipelines with ComfyUI for brand-consistent marketing content.
Python Computer Vision Data science Data Engineer software architect
HELLA Aglaia Mobile Vision GmbH
Software Integrator
October 2023 - January 2025 (1 year and 3 months)
Berlin, Germany
• • Developing AI models for PCB analysis using deep learning techniques.
• • Training Models on Distributed Systems Strategy.
• • Utilising Keras for custom AI model Tuning and Dataset organisation.
• • Integrating Models in Software Solutions.
• • C code analysis and debugging produced from Tricore compilers to maintain Automotive Standards.
• • Building in-house software solutions using Python and SQL for Data Storage; like visualisation tools for datasets and AI outputs, Inventory Management System, Data filtering, Cleaning and Engineering.
BMS-Elektronik GmbH
Machine Learning Engineer Computer Vision
August 2023 - July 2024 (11 months)
Berlin, Germany
• • Data Gathering, Data Engineering and Augmentation.
• • Built a software solution for PCB labelling and Analysis.
• • Built a software solution for PCB inspection and results visualisation.
• • Built and Trained AI model to recognise components on PCBs using deep learning techniques.
• • Integrated AI models in the Software Solution to be used in inspection.
• • Analysed outputs of the inspection System.
• • Leveraged Google Cloud Platform services for training deep learning models and implemented MLOps practices for efficient model deployment and lifecycle management.