
Amit Maity developed and enhanced core business features for the Innogate/cabRiderWeb repository over four months, focusing on scalable master data management, booking workflows, and dispatch operations. He built and integrated Angular components for vendor, guest, and cab allotment management, implementing robust API development and service layers in TypeScript and JavaScript. Amit improved UI/UX with dynamic data tables, pagination, and responsive forms using PrimeNG and Tailwind CSS, while addressing data integrity and routing issues. His work enabled reliable CRUD operations, streamlined onboarding, and improved financial and booking flows, demonstrating depth in both frontend and backend engineering for complex enterprise applications.

October 2025 highlights for Innogate/cabRiderWeb focused on dispatch efficiency and data quality. Delivered Cab Allotment Management UI (AllotmentComponent) with a vendor/car type/driver/timing form, integrated into the booking flow and refined related UI. Implemented an allotment service to support end-to-end operations and ensure reliable persistence. Enhanced Vendor Data with API endpoints to fetch all vendors for a dropdown and to retrieve car types by vendor ID for vendor-specific displays. These changes reduce manual workload for dispatchers, improve accuracy of assignments, and speed up the booking process, while showcasing strong frontend componentization, service-oriented design, and API integration skills.
October 2025 highlights for Innogate/cabRiderWeb focused on dispatch efficiency and data quality. Delivered Cab Allotment Management UI (AllotmentComponent) with a vendor/car type/driver/timing form, integrated into the booking flow and refined related UI. Implemented an allotment service to support end-to-end operations and ensure reliable persistence. Enhanced Vendor Data with API endpoints to fetch all vendors for a dropdown and to retrieve car types by vendor ID for vendor-specific displays. These changes reduce manual workload for dispatchers, improve accuracy of assignments, and speed up the booking process, while showcasing strong frontend componentization, service-oriented design, and API integration skills.
September 2025 performance snapshot for Innogate/cabRiderWeb: Delivered core service APIs and front-end improvements that unlock business processes, improve data accessibility, and enhance user experience across multiple modules. Key work focused on journal and sales billing services, scalable pagination, UI consistency, and guest/booking flows.
September 2025 performance snapshot for Innogate/cabRiderWeb: Delivered core service APIs and front-end improvements that unlock business processes, improve data accessibility, and enhance user experience across multiple modules. Key work focused on journal and sales billing services, scalable pagination, UI consistency, and guest/booking flows.
August 2025 (Innogate/cabRiderWeb) focused on delivering customer-facing search capabilities, stabilizing core flows, and strengthening financial/data management with scalable scaffolding. Key features delivered include a guest filter search service and an integrated car search service to improve guest targeting and booking workflows; UI enhancements such as general UI improvements and a party rate UI update; and backend enhancements including the company master service scaffolding, sweet alert notifications, charges master updates, and GL Master CRUD with a Journal Entry API. Major fixes addressed dynamic table rendering issues, routing stability, and several service/import/fetching problems, resulting in improved reliability and developer velocity. The work establishes a robust foundation for future growth by standardizing master data management, improving financial data handling, and delivering a more responsive, user-friendly UI. Technologies demonstrated include React/TypeScript front-end patterns, service-oriented backend design, REST APIs, and strong debugging/refactoring practices to ensure stability and scalability.
August 2025 (Innogate/cabRiderWeb) focused on delivering customer-facing search capabilities, stabilizing core flows, and strengthening financial/data management with scalable scaffolding. Key features delivered include a guest filter search service and an integrated car search service to improve guest targeting and booking workflows; UI enhancements such as general UI improvements and a party rate UI update; and backend enhancements including the company master service scaffolding, sweet alert notifications, charges master updates, and GL Master CRUD with a Journal Entry API. Major fixes addressed dynamic table rendering issues, routing stability, and several service/import/fetching problems, resulting in improved reliability and developer velocity. The work establishes a robust foundation for future growth by standardizing master data management, improving financial data handling, and delivering a more responsive, user-friendly UI. Technologies demonstrated include React/TypeScript front-end patterns, service-oriented backend design, REST APIs, and strong debugging/refactoring practices to ensure stability and scalability.
July 2025 performance summary for Innogate/cabRiderWeb: Delivered foundational master data services and UI improvements across vendors, guests, users, monthly duties, and party data, plus a critical data-update bug fix. Strengthened data integrity, reduced onboarding time for new entities, and improved operator UX. These efforts position the project for scalable master data management and faster feature delivery in subsequent sprints.
July 2025 performance summary for Innogate/cabRiderWeb: Delivered foundational master data services and UI improvements across vendors, guests, users, monthly duties, and party data, plus a critical data-update bug fix. Strengthened data integrity, reduced onboarding time for new entities, and improved operator UX. These efforts position the project for scalable master data management and faster feature delivery in subsequent sprints.
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