Summary
Mohamed Elkhadiri is an AI Solution Engineer based in Berlin with five years of hands-on experience building and productionizing machine learning and deep learning systems. He combines a software engineering foundation with applied data science—shipping computer vision enhancements at ZEISS, tailoring Arabic NLP pipelines for multi-dialect topic and sentiment analysis, and automating natural-language-to-SQL generation using RAG and PEFT at ConvergenceAI. Comfortable across the stack, Mohamed moves between Python development, transformer fine-tuning, prompt engineering, and MLOps to deliver maintainable APIs and scalable cloud deployments. Now at Aleph Alpha, he focuses on translating research-grade models into practical solutions for customers. Notably, he designed preprocessing capable of handling 25 Arabic dialects—an uncommon strength that underscores his attention to real-world data diversity.
5 years of coding experience
3 years of employment as a software developer
Engineer's degree, Computer Science, Engineer's degree, Computer Science at INSAT - Institut National des Sciences Appliquées et de Technologie