Ebubechukwu Donatus Enwerem
Ebubechukwu Donatus Enwerem
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Head of Engineering at Marovi
Philadelphia, Pennsylvania, United States
Ebubechukwu "Don" Enwerem is Head of Engineering at Marovi. He builds AI systems that solve real problems at scale.
He has completed three engineering terms at Amazon Robotics, where he developed full-stack internal tools, LiDAR-based inventory tracking systems, and computer vision pipelines for automated hardware validation. His work is projected to save millions in operational costs. At Penn Medicine, he built LLM-powered tools for synthetic radiology report generation and co-authored research presented at RSNA, SIIM, and AAR.
Beyond industry, Don co-founded WazobiaCode, a nonprofit that taught over 150 students in Nigeria web development, and built Meddibia, an EMR platform that won $20,000 in funding at Drexel's Startup Fest. More recently, he has been exploring AI safety through red teaming frameworks designed to find vulnerabilities in large language models.
His research interests span practical AI systems, AI safety and reliability, large language models, computer vision, and human-AI interaction, particularly their applications in healthcare, robotics, and business. A Drexel University graduate in Computer Science and recipient of the Distinguished Service Award, Don brings the same rigor to research, teaching, and entrepreneurship that he applies to engineering.
He has completed three engineering terms at Amazon Robotics, where he developed full-stack internal tools, LiDAR-based inventory tracking systems, and computer vision pipelines for automated hardware validation. His work is projected to save millions in operational costs. At Penn Medicine, he built LLM-powered tools for synthetic radiology report generation and co-authored research presented at RSNA, SIIM, and AAR.
Beyond industry, Don co-founded WazobiaCode, a nonprofit that taught over 150 students in Nigeria web development, and built Meddibia, an EMR platform that won $20,000 in funding at Drexel's Startup Fest. More recently, he has been exploring AI safety through red teaming frameworks designed to find vulnerabilities in large language models.
His research interests span practical AI systems, AI safety and reliability, large language models, computer vision, and human-AI interaction, particularly their applications in healthcare, robotics, and business. A Drexel University graduate in Computer Science and recipient of the Distinguished Service Award, Don brings the same rigor to research, teaching, and entrepreneurship that he applies to engineering.
