@wahab 10x

Wahab_10x develops battery management systems and machine learning infrastructure, specializing in Extended Kalman Filter implementations for lithium battery monitoring. Their research advances model-based approaches for State of Charge and State of Health estimation in energy storage systems. This work integrates control theory fundamentals with real-time battery performance optimization. In cloud computing, Wahab_10x builds Retrieval Augmented Generation systems using Amazon Kendra and AWS Bedrock platforms. Their implementations focus on enterprise integration of large language models, including Claude 2. These projects demonstrate practical applications of cloud-native AI infrastructure for industrial use cases. The technical portfolio combines signal processing research with production-ready machine learning solutions. Their publications and implementations span battery technology, control systems engineering, and generative AI architectures. This work contributes to both academic literature and industry applications in energy storage optimization and enterprise AI deployment.