The RxStrategies Contract Pharmacy Management solution offers user-friendliness, seamless integration, enhanced security and a transparent fee structure that ensures 340B savings benefit the covered entity and their patients. Our audit-proven eligibility matching methodology ensures precise qualification for every transaction, maximizing program benefits while elevating compliance.

The Option Chain Analysis project is a web application designed to visualize trading algorithms and their outcomes. The application manages real-time data ingestion through ingestor and worker services, which process large volumes of market data and generate result sets based on custom algorithms. These result sets are exposed via APIs and presented through a simple, intuitive user interface for ease of analysis. The entire system is deployed using serverless architecture and AWS Amplify, enabling scalable and efficient operation. Built with a modern tech stack, the application provides traders with a powerful tool for analyzing option chains and making informed decisions.

The API as a Product project involved developing public-facing APIs for Medly, designed for seamless integration with partner systems. These APIs enabled partners to securely access and integrate Medly's internal services. The project utilized OKTA OAuth 2.0 for authentication and authorization, ensuring secure data exchange. An event-driven architecture was employed to facilitate real-time communication between over 10 decoupled services, enhancing scalability and system reliability. Additional contributions included implementing a global error response handler, optimizing Kinesis event handling, and creating reusable GitHub workflows, adopted by multiple teams for improved development efficiency.

This website is for one who loves to create posts like blogs, poetry, story. It provides various options like Create Post, View Post, SignUp, SignIn, Draft Post, SignOut, Like, Comment and Share.

This project is about Named Entity Recognition for Wikipedia. Scrap data using wikipedia API to perform NER and Perform Named Entity Recognition on scrapped data and extract entities like city, person, organisation, Date, Geographical Entity, Product etc and then display annotated text in Streamlit App.

I developed a full-stack Team Management Application with a dynamic table for managing team members. The backend API supports CRUD operations with features like pagination, sorting, and search to handle large datasets. The frontend allows bulk actions, sortable columns, and editable member details such as roles and teams. I focused on creating a responsive UI for seamless interaction across devices.

This project is about Singly Linked List Python Package. It provides various options like Add Nodes, Remove Nodes, Search, Traversal, Utilities, Modify List, Merging Lists.