Emmanuel Aboah Boateng is an Applied Scientist Tech Lead at Microsoft, where his focus is on the development and application of Generative AI/LLMs and Multi-Agent Systems to address complex, high-impact real-world challenges. His work has led to multiple patents and research publications in GenAI and agentic AI, advancing automation, compliance reasoning, and adaptive orchestration.

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. He has further honed his expertise through impactful roles at Apple Inc., Meta Platforms Inc., and BBB Industries, LLC, developing robust machine learning frameworks across diverse domains.

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.