Building healthcare dashboards to visualize healthcare data that facilitates better decision-making for clients. The applications are built on React.js, Typescript, Redux, Python, and FastAPI.

- Built an eCommerce-based recommendation system to generate recommendations based on the purchase history, search history, and user search patterns. Built the frontend and the backend from scratch to display the products based on the filtering techniques. Design APIs for fast response times and added user-personalized filters for easy filtering of the displayed products based on the user needs.- Building a graph-plotting application that provides insights into CSV data from user prompts.- Developed an AI-based application to generate answers to user queries using generative AI on provided data. Used a vectorDB to generate answers to user queries.- Engineered a live commerce application where the sellers can conduct live streams for their products that buyers can tune in to see.

- Worked on a Question and Answer Application where users can post FAQs along with their answers. Added feature to include images, documents, and video. Build the frontend using Nextjs and the backend with Node and Express. The data is stored in DynamoDB and S3. Implemented role-based authentication and authorization.- Worked on building a Purchase order module where one can upload Excel data for the cost of resources and the application will extract the data, calculate the total offshore and onsite costs and make the resultant document available for download. Build the frontend using Nextjs and the backend using Node and Express with Typescript. The data is stored in DynamoDB and S3. Used SheetJS for the operations on the Excel sheets.

- Trained in Java development for a period of 6 months during which I learned to use Java to build applications.- Built a full-stack application as part of the training using Java and React.

- Worked on Image Classification using machine learning.- Built an ML model to classify images of cats and dogs