Kushal Kommireddy

Full Stack Developer with 1+ years of experience in web and mobile application development. Delivered an AI powered waste classification system achieving 92–95% prediction accuracy and a career guidance app that lifted user engagement by 40% through an integrated chatbot. Built responsive interfaces and cross platform components using React, React Native, and TensorFlow, bringing rapid UI enhancements and AI features to product workflows.

Full Stack Development Intern (React & React Native) at Technical Hub

• Delivered over 50 semantic, SEO optimized HTML5 pages, ensuring full cross browser compatibility and accessibility compliance.
• Built over 30 responsive layouts using Flexbox, Grid, and media queries, raising cross device compatibility 30% and user engagement 25% with animations that accelerated interactions 40%.
• Pioneered 20+ dynamic web components using ES6+, async/await, and DOM manipulation, and distributed them via Webpack Module Federation to enable independent micro frontend builds, while embedding Recharts visualizations that turned real time data arrays into interactive charts, cutting load times 35% and boosting performance 50%.
• Created 15+ state driven UIs with React, using functional programming patterns and higher order hooks for payment SDKs; optimized React reconciliation by assigning stable key props to dynamic lists, cutting unnecessary re renders and boosting interactivity 25% while Victory visualizations rendered real time metrics and analytics listeners captured user journeys.
• Reduced page load times by 40% and improved performance by 50% through lazy loading, file minification, and best practices.
• Architected the cross platform "Job Path" mobile app with React Native and Expo Go, abstracting native modules into clean JavaScript APIs and integrating Stripe, Razorpay, and UPI (upi://pay) payment gateway SDKs via custom hooks; embedded global analytics listeners on React Navigation route changes to capture user journey metrics, delivering 25+ reusable components and achieving 95% performance on Android devices.
• Led and collaborated with teams, mentoring interns and integrating AI/ML features that enhanced product workflows and reduced development time by 20%.

B. Tech in Computer Science (Data Science) – Aditya College of Engineering and Technology, JNTU K

Class XII in MPC – Aditya Junior College