Shoeb Joarder is an AI Engineer and researcher with nine years of experience building production-ready ML and NLP systems, currently pursuing a PhD in Human-Centered Computing & AI. He designs end-to-end data pipelines, implements transformer- and LLM-based solutions (including RAG) and deploys scalable backends and interactive visualizations to turn research prototypes into decision-support applications. At the University of Duisburg-Essen he led projects on knowledge extraction, graph-based personalization, and dialogue-driven automation while also supporting teaching for over 2,000 students. Comfortable across the stack, he combines full-stack frontend work (React/UX) with backend and DevOps practices to bridge research and product delivery. He has a track record of reducing hallucinations through retrieval-driven architectures and applying graph neural approaches for recommendation and personalization. Open to international roles, he seeks positions that fuse NLP/LLMs, data engineering and production-grade application development.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Engineering, Distinction, Master's degree, Computer Engineering, Distinction at Universität Duisburg-Essen
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