I’m Mohsin Sayeed Ansari, an accomplished .NET Technical Lead with deep expertise in the Microsoft technology stack and cloud-native Azure architecture. I excel at requirement analysis, system design, database modeling, and building scalable APIs that integrate with complex back-end systems and payment gateways.
I lead teams, mentor developers, and drive DevOps practices, with experience delivering CRM, order management, and invoice systems. I’m passionate about clean architecture, SOLID principles, and delivering robust, maintainable software for enterprise customers. I thrive in cross-functional environments and am committed to delivering value through reliable software engineering and thoughtful leadership.
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This system is designed to capture vehicle-related data using images and text recognition techniques. When a vehicle image is captured, the application performs image analysis to identify key details such as the vehicle number plate and other visible attributes. Along with this, text analysis is applied to extract and process alphanumeric information from the image.
The extracted vehicle data is then securely stored in a database for further processing and record-keeping. A validation application retrieves this stored data and verifies its accuracy based on predefined rules and conditions. Once validation is complete, the processed information is presented to the admin through an interface for review, approval, or further action.
This approach helps automate vehicle data verification, reduces manual effort, improves accuracy, and ensures efficient data management and administrative control.
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