Blessing Uche

Designed and built an AI-powered web interface for experimental design in drug and materials discovery using React and Python-based APIs, reducing experiment design and setup time by 20–30% for chemists. Integrated frontend systems with lab automation frameworks to enable end-to-end automated experiment execution and reduce manual intervention by several hours per workflow. Collaborated in an agile, multidisciplinary team across AI research and engineering, contributing to open-source tooling used by researchers across teams.

Implemented a data migration pipeline supporting the separation of Inchcape Retail UK systems, reducing transition time by 15–25% and minimizing data inconsistencies. Implemented advanced SQL queries in Databricks to analyze large-scale customer datasets, enhancing customer data accuracy and enabling stakeholders to make data-driven decisions via a React.js-based dashboard.

Implemented React.js, Node.js, and PostgreSQL to design and develop a user-friendly service platform that enables customers to browse and order services. Developed a search feature allowing quick service discovery and a simplified checkout process, reducing average search time substantially. Used TypeScript with React.js, Node.js, and PostgreSQL to build a robust e-commerce platform that improved user experience and increased conversion rate while reducing cart abandonment by 18%.