Amresh Kumar

Engineered an innovative drag-and-drop website builder module, later adapted for the Reports module, empowering users to connect data sources, generate reports, and visualize data through customizable charts.

Developed high-performance chart rendering capabilities using offscreen canvas within web workers, optimizing main thread performance and enhancing user experience for complex data visualizations.

Utilized React, TypeScript, and Comlink to build robust, interactive frontend components, ensuring seamless integration and efficient data handling.

Improved application accessibility, internationalization, and offline capabilities by implementing service workers, IndexedDB, and web cache API, significantly enhancing user experience and reach.

Developed high-performance WebAssembly modules in C++ for processing large datasets, significantly reducing computation time and optimizing system efficiency.

Ensured critical data consistency across multiple browser tabs and windows through broadcast channels, preventing data corruption and improving application reliability.

Optimized Excel export functionality by leveraging web workers, resulting in reduced UI blocking and faster export times, enhancing user productivity.

Designed and implemented robust REST API endpoints using Nest.js, complete with route authorization and services, facilitating secure and efficient data interaction with PostgreSQL and Redis databases.

Contributed to the development of the 'Lio' web application, which garnered over 1 million downloads, demonstrating significant user adoption and market impact.

Engineered a comprehensive programmable spreadsheets module, supporting diverse column types (numbers, addresses, emails, images, formulas) to enhance data management flexibility.

Implemented critical spreadsheet functionalities including undo-redo, audio recording, image capturing, and advanced data searching/filtering/formatting/styling, improving user control and data manipulation capabilities.

Developed a dynamic dashboards module to visualize spreadsheet summaries with interactive charts, providing users with actionable insights and data overview.

Designed and implemented a custom list virtualization solution, significantly improving performance and efficiency when rendering extensive datasets.

Optimized application build size by streamlining the build process, including removing source maps, minifying code, and eliminating development dependencies, leading to faster load times and improved deployment efficiency.