Emmanuel Aboah Boateng is a Senior Machine Learning Engineer at DoorDash, focused on agentic AI systems and post-training for search, conversational AI, and catalog intelligence. He has developed AI systems across Apple, Meta, and Microsoft, and has led cross-functional efforts from research to production, resulting in multiple patents and peer-reviewed publications in AI.

Emmanuel earned his Ph.D. in Computer Engineering from Tennessee Technological University in Tennessee, USA, specializing in artificial intelligence and data provenance analysis for anomaly detection. His doctoral research introduced novel objective functions for feedforward neural networks, enabling more effective one-class classification in detecting rare and critical events.

His research interests span Natural Language Processing, Multi-Agent Systems, Multi-modal AI, and trustworthy AI systems. With a keen interest in solving complex mathematical problems and making accurate predictions, he thrives on using a diverse range of machine learning techniques and data analysis tools. Additionally, Emmanuel's experience extends to computer vision, signal processing, and computer architecture, further enhancing his ability to tackle multifaceted challenges.