I'm a passionate AI & ML Engineer and Data Scientist based in Munich, Germany. My journey began in automotive engineering, but my passion for data quickly took over when I started working with data processing and visualization. What started as curiosity evolved into hands-on expertise in data analysis, machine learning, and business intelligence.

I specialize in turning raw data into actionable insights and am now developing my passion towards agentic AI and LLM-powered applications. My skills are supported by AWS AI Practitioner, Machine Learning Engineer, and Azure Fundamentals certifications.

• Completing the AI Engineering program at Turing College, focusing on real-world applications with LLMs and Agentic AI systems
• Expertise Areas: Generative AI, Large Language Models (LLMs), Deep Learning, and Data Science
• Tech Stack: Python, PyTorch, TF, OpenAI API, LangChain, LangGraph, Streamlit, SQL, Git, Pandas, Scikit-learn, and vector databases
• Project Focus: AI agents, Retrieval-Augmented Generation (RAG), Agentic workflows, time series analysis, classification/regression
• Analytics Skills: Exploratory Data Analysis (EDA), feature engineering, dashboarding, and data-driven business insights
• Background: 10+ years in the automotive industry with a focused transition into AI, data science, and intelligent system design
• Location: Munich, Germany — open to hybrid or remote roles across the EU
• Languages: English, German, Arabic (all business fluent)

Recent Achievements:

• 2022: Project Management Associate IPMA Level D,
• 2023: Scrum Master I

AI Engineering at Turing College

• Advanced LLM applications and prompt engineering
• AI agent architectures with LangChain & LangGraph
• Real-world generative AI projects

Specialist Data Analytics

• Automated duplicate detection using EDA, NLP & ML techniques
• Built interactive dashboards for large-scale test data visualization
• Developed data-driven solutions for quality optimization

Test Engineer - BMW Group

• 10+ years in automotive testing and validation
• Python-based test automation development
• ADAS sensor & system quality assurance
• Transition from SW testing to data analytics

AI & Machine Learning
Generative AI • LLMs & Prompt Engineering • Agentic AI • Machine Learning Model Development

Data Science & Analytics
Exploratory Data Analysis (EDA) • Data-Driven Decision Making • Data Storytelling • Analytical Methodology Expertise

Professional Skills
Solution-Oriented • Entrepreneurial Mindset • Data & People Person • Insight with Impact

Leadership & Collaboration
Interdisciplinary & Intercultural Competence in the EMEA Region • High Learning Agility & Self-Motivation