Alert Management System: Spearheaded the development and integration of a dynamic alert system that enables listing, filtering, and paginating alerts. Built an in-memory storage mechanism to optimize application responsiveness and reduce redundant API calls.Middleware & Data Modeling: Architected middleware solutions to streamline interactions between the frontend and backend. Crafted robust data models to ensure type safety and set clear data contracts, enhancing the efficiency of API responses.Digital Ink API Integration: Integrated the Digital Ink API, enhancing the UI by allowing users to craft digital handwritten inputs. This contributed to a richer and more interactive user experience in the application.Web App Development with React: Played a pivotal role in designing and implementing dashboards on a web application using React/Redux, creating an intuitive and responsive UI that provides users with real-time data visualization and insights.State Management & Search Functionalities: Utilized modern state management solutions to seamlessly handle state transitions and UI events. Developed dynamic search functionalities to allow users to effortlessly locate and manage alerts based on specific criteria.User-Centric Features: Introduced user-specific features, ensuring tailored experiences based on individual preferences and behaviors.Technologies: Utilized an array of technologies including Flutter, Dart, Riverpod for the mobile app, and React/Redux for the web platform, all underpinned by Node.js/Express on the backend.

Participated in an intensive research scholar program, collaborating with researchers from renowned universities such as MIT, Stanford, Harvard, and other Ivy League institutions.Completed a capstone project on skin lesion classification using transfer learning models, achieving a 95% accuracy rate. (See Projects section for more details.)Conducted extensive data preprocessing and feature engineering to optimize model performance.Collaborated with a team of top-tier researchers to review and implement state-of-the-art machine learning techniques.Presented research findings to a panel of industry experts, receiving commendation for analytical rigor and innovative approach.Gained hands-on experience with machine learning libraries such as TensorFlow and scikit-learn.Enhanced understanding of ethical considerations in AI, particularly in the context of healthcare applications.