Developed the first version of the Cornell ILR Job Search Platform, utilizing Django, PostgreSQL, Redis, and Docker, which successfully supported over 500 users in the initial research phase.Integrated Redis with Celery for asynchronous task management, improving task efficiency by 30%, resulting in faster handling of user activity tracking, survey management, and vacancy data processing.Increased platform stability and reduced deployment times by 40% through automated CI/CD pipelines and comprehensive test coverage using PyTest, covering 90% of the codebase.

Led the development and deployment of the Cornell JSL Website, utilizing Node.js, Vite, and Tailwind CSS to create an interactive platform for researchers to submit and access study data.Architected the backend using Appwrite for database management, supporting the submission, approval, and management of research papers, with real-time data fetching and updates.Automated deployment using Netlify, reducing manual deployment time by 80%, and ensuring continuous delivery with Git-based triggers.Enhanced code modularity and reusability by organizing shared components and form handling, leading to 30% faster development of new features.

Guided children through vocal and intonation sessions