Built an AI-powered WhatsApp CRM platform that revolutionized user engagement with automation features, serving 25,000+ users. The platform leverages advanced AI algorithms to automate customer interactions, manage conversations at scale, and provide intelligent insights for business growth. Implemented using MERN stack with sophisticated machine learning models for natural language processing and automated response generation.
Developed a full-stack wedding platform enabling seamless event planning and vendor booking. Built with ReactJS and Node.js, featuring a robust backend system for managing bookings, vendor listings, and customer interactions.
Created a political data AI pipeline using Python and machine learning algorithms to process and analyze large datasets, providing actionable insights for stakeholders in the political domain.
Enhanced a dynamic career exploration platform for students, utilizing Ruby on Rails, AWS, React and PostgreSQL to optimize test coverage, fix authorization issues, and improve overall platform performance. The platform helps students discover career paths through personalized assessments.
Developed a microservices platform with Crystal Lang (backend) and Flutter Web (frontend), implementing a batch processing system for coupon settlements using AWS SNS and SQS.
Built features for a WhatsApp automation tool with ReactJS, TypeScript and microservices, revamping the dashboard with styled-components to improve user experience.
Developed a Web3 app for football trivia and NFT prizes, optimizing legacy code and improving runtime performance by 50% using FeatherJS and ReactJS.
Led the development of scalable web applications for startups, focusing on product direction, code quality, and modern technology solutions.