Nanda Sambit Kumar

I led the integration of the OpenAI library with multiple large language models (LLMs) to automate content generation on our social commerce platform, enhancing user experience and engagement.

Initially, I conducted extensive research to select the most suitable models, evaluating factors like performance, cost, and compatibility with our platform's needs. A proof of concept was developed to test the integration, focusing on generating dynamic and personalized content such as product descriptions and auction announcements. This POC involved setting up OpenAI's API and testing various models to optimize content relevance and quality. The successful implementation not only reduced manual content creation efforts but also provided a more personalized shopping experience for users, driving higher engagement and satisfaction. Throughout the project, I collaborated closely with cross-functional teams, including designers and back-end developers, to ensure seamless integration and alignment with platform goals.

I spearheaded the creation of a digital library platform, enabling administrators to upload books via PDFs or through an in-built scanning feature, and integrated Speechify for audiobook conversion, significantly enhancing user engagement and accessibility.

To ensure high accuracy, I conducted research and selected advanced OCR technology for the scanning process. A proof of concept was developed to test the scanning feature and the integration with Speechify, focusing on seamless audiobook conversion and playback. Close collaboration with front-end and back-end teams ensured an intuitive interface for both admins and users. Key decisions included opting for Speechify due to its high-quality audiobook generation and selecting OCR technology that provided accurate text extraction from scanned books. The platform not only improves user experience by offering flexible access to content but also streamlines admin tasks, leading to increased efficiency and user satisfaction.

WORK DONE
• Led the development of a robust eCommerce application in React Native, leveraging TypeScript for enhanced type safety and scalability.
• Migrated and integrated existing React components, phasing out the legacy application seamlessly.
• Refactored the codebase to separate logic and UI layers, improving maintainability and scalability.
• Integrated Jest for comprehensive unit testing, ensuring code reliability, and implemented Apollo GraphQL for efficient data management.

These enhancements not only streamlined the development process but also provided a more seamless and responsive user experience, positioning the platform for future growth.

I have built a testing framework module based on Jest, Cypress.io, and the React Testing Library that can be integrated into any React web app to write both unit and end-to-end test cases quickly. I initially wrote this as part of a React project I was working on, but later, I extracted this as a separate npm module to be available for other projects. I added additional features that require API mocking layers and integration with other SDKs.