Ridwat Kenny Okunlola

Built a robust School Management System to streamline academic operations, including result tracking, attendance management, and student-teacher dashboards.

• Developed a full-featured student portal for checking results, tracking academic progress, and managing profiles.
• Integrated authentication and role-based access using Clerk.
• Improved performance with optimized API routing and efficient database queries.

Designed and optimized prompt engineering frameworks at Scale AI, integrating advanced AI models to boost accuracy and drive substantial improvements in system performance.

• Designed and optimized prompt engineering frameworks, enhancing AI model accuracy and system performance by up to 15%.
• Developed innovative prompting strategies that translated complex requirements into precise AI outputs, streamlining operational workflows and improving output relevance by over 20%.
• Analyzed AI model outputs to identify areas for prompt refinement, resulting in measurable gains in response relevance and reliability across diverse use cases.

Developed scalable web applications at SwiftPay, enhancing user experiences and back-end efficiency through modern frameworks and optimized database solutions.

• Developed and deployed scalable web applications using modern frameworks, resulting in enhanced user experiences and improved system performance by 25%.
• Optimized back-end efficiency and database performance, reducing data retrieval times by 30% and improving application responsiveness.
• Ensured application reliability and seamless functionality by implementing robust testing procedures, reducing critical bugs by 15%.
• Utilized MERN stack technologies to build secure and high-performing web services.

Analyzed complex datasets at DYA to uncover actionable insights, optimize processes, and drive data-driven decision-making for real-world business challenges.

• Analyzed datasets using advanced statistical techniques, identifying key trends and insights that informed strategic business decisions, leading to X% process optimization.
• Optimized data collection and processing workflows, improving data accuracy by 15% and enhancing reporting efficiency.
• Ensured data integrity and consistency across multiple sources, building reliable datasets for comprehensive analytical reporting used by different departments.