Ono Ikusi

• Completed auto-sales service system using AWS Sagemaker and ECR, saving $1.7M. • Interpreted 70+ complex simulation datasets using statistical methods. • Collaborated with other AI specialists in the organization to design, create, and test software that detects risks and protects IoT systems applying AI and machine learning techniques.

• Adopted bidirectional LSTM models to classify text data from consumer surveys with high accuracy (>95%), which built a survey database to help internal researchers filter historical survey questions. This feature helped each user researcher save more than an hour per week. • Applied the machine learning and deep learning techniques like SVM, Logistic Regression, Random Forest regression, LSTM, CNN for classifying customer text responses into business categories

• React, Redux, TypeScript, BootstrapHandled the heavy development of embedded JavaScript widgets on third-party publisher sites. • Mainly managed mobile-responsive SPA using ReactWorked with nested iframes, and sizing/scaling issues formobile, and error-handling. • Built and hosted React front-end website and Backend API creation and management. • Wrote advanced jQuery DataTables plugins and UX handling and DB management with MongoDB.