Olalekan Ogunbiyi
AI evaluation & ops consultant
New to Contra
Olalekan is ready for their next project!
This is a fintech platform and landing page built to bridge algorithmic trading with user-friendly web interfaces. Developed using Lovable, the system showcases real-time market scanner metrics and highlights automated MT5 signal integration for hands-off trade execution.
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This is a high-conversion B2B landing page designed and built using Lovable to streamline enterprise procurement for agricultural commodities. It provides industrial buyers and feed mills with clear structural transparency regarding order requirements, verified processing standards, and logistical fulfillment.
mnl-maxicon.lovable.app
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I’d love to share the story behind this platform. This is the MNL-Maxicon Agro-Ops Suite, a custom enterprise dashboard I designed and developed to serve as the operational nerve center for our agro-commodities supply and processing business.
In agricultural logistics, managing fragmented data—like tracking physical truck tonnages, matching them to waybills, and securing high-value B2B invoicing—is a massive bottleneck. I built this interface to centralize our entire pipeline. As you can see on the screen, it gives us a real-time command center: instantly aggregating total tonnage dispatched—such as this 70-metric-ton shipment—and automatically reconciling client ledgers and revenue data.
Beyond the clean UI, I engineered it with automated database backups and system activity logs to ensure total data integrity for our enterprise trade. This project perfectly demonstrates my approach: taking complex, chaotic, real-world operational workflows and building the exact digital infrastructure needed to make them efficient, scalable, and transparent.
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This project involved designing and overseeing data collection workflows within local supply chain and warehouse operations in Nigeria. Focused on AI model evaluation and operational efficiency, we gathered real-world visual data to train and validate computer vision models for inventory management, manual labor tracking, and workplace safety compliance. My role centered on managing data quality pipelines, ensuring diverse edge-case representation, and aligning field operations with AI performance metrics.
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