Ono Ikusi

Berufserfahrung von Ono Ikusi

• 2 Jahre und 5 Monate, Aug. 2020 - Dez. 2022

  Artificial Intelligence Engineer

  Urbint

  • 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.

• 3 Jahre, Juni 2017 - Mai 2020

  Machine Learning Engineer

  Capital One

  • 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

• 9 Monate, Juli 2016 - März 2017

  Fullstack Developer

  Scopic Software

  • 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.