A published researcher, full-stack developer, and AI innovator, Muhammed brings a rare blend of academic rigor and real-world application to Innovated Studios. With a Master’s in Computer Science from the University of Central Florida focused on Health Informatics, he merges advanced research with next-gen engineering to solve complex challenges across AI, data science, and machine learning.

His work spans deep technical terrain—from formal verification systems to sentiment analysis at scale. He has authored four peer-reviewed papers (including IEEE publications), holds a patent, and has contributed groundbreaking research like MADI, a machine learning framework for data incompleteness, and PC-LSTM, a predictive model that analyzed 44+ million patient records with 90% accuracy.

Muhammed’s industry chops include engineering HIPAA-compliant EMR systems, creating predictive dashboards at Texas Instruments with 98% accuracy, and deploying AI search tools at AbbVie that boosted query performance by 40%. He’s equally at home in cloud environments like Azure and AWS, with strong command over Python, JavaScript, Java, and modern development stacks.

Whether architecting high-performance systems or advancing AI theory, Muhammed’s interdisciplinary edge makes him a driving force behind the intelligence powering Innovated Studios’ most ambitious experiences.