OM KALE

• Built a dynamic, component-based user interface with ReactJS, using functional components and hooks (useState, useEffect) for state management and real-time data updates.
• Implemented local storage for persisting user data, allowing seamless expense tracking across sessions.
• Designed a mobile-first, responsive layout with CSS3, Flexbox, and media queries to ensure compatibility across devices.
• Developed expense calculation features, providing real-time insights into monthly and yearly spending, with dynamic rendering of financial breakdowns.
• Optimized app performance by reducing re-renders through React.memo and useCallback, and implemented lazy loading for faster load times.
• Ensured cross-browser compatibility by testing and using CSS3 fallbacks for consistent rendering across major browsers (Chrome, Firefox, Safari, Edge).
• Collaborated with the team using Git for version control, managing codebase through pull requests and ensuring efficient project workflows.

• Full-Stack Development: Built a full-stack application using React.js for the frontend and Flask for the backend to handle API requests, user interactions, and real-time data processing.
• Real-time Interaction: Integrated WebSocket for real-time message streaming, ensuring a seamless chat experience between the user interface and backend.
• Frontend UI/UX Design: Developed a mobile-first, responsive UI with React.js, CSS3, and Flexbox, including dynamic message rendering, markdown support, syntax highlighting, and optimized animations.
• Component Library & Reusability: Designed and developed modular, reusable frontend components (chat containers, message bubbles), reducing development time by 40% and maintaining UI consistency.
• User Engagement & Accessibility: Implemented an interactive feedback system (upvotes/downvotes, message regeneration) and ensured WCAG compliance for enterprise accessibility standards.
• Performance Optimization: Achieved a 30% improvement in load times through code-splitting, optimized CSS selectors, and efficient Flask route handling for faster responses.
• AI Integration & Error Handling: Integrated GPT API for real-time chatbot conversations, including error-handling components to manage AI model interactions and present compliance insights.
• Version Control & Collaboration: Collaborated using Git for version control, ensuring efficient team workflows and integration of both frontend and backend development.
• Conducted research on user engagement with a custom LLM chatbot, focusing on understanding the needs and preferences of users to inform design decisions.
• Collaborated with designers, product owners, and developers to incorporate research insights into the iterative development process, fostering a user-centered approach.
• Analyzed qualitative data gathered from user testing and feedback, which contributed to improving the chatbot's interface and functionality.