Senior Full-Stack Developer | AI Integration Specialist

I improved the UX and responsiveness of a real-time enterprise KPI analytics dashboard using React and TypeScript. I implemented dynamic visualizations and interactive charts that reduced navigation time by 40%.

I built Node.js backend capabilities with WebSockets and Python AI modules using TensorFlow and scikit-learn to support real-time predictive alerts for more than 100,000 concurrent users. I also integrated LangChain and OpenAI APIs for automated report generation and data summarization, optimized PostgreSQL and MongoDB performance, and deployed Docker-based CI/CD pipelines that reduced downtime by 60%.

I developed modular e-commerce frontend components and backend services with Angular, Node.js, Python, and MongoDB for the NextGen Retail Project. These improvements reduced page load times by 25%.

I integrated a Python and TensorFlow recommendation engine that increased user engagement by 20% through personalized product suggestions. I also automated unit and integration testing with Jest, Mocha, and Python unittest to improve reliability and maintainability.

I built reusable e-commerce components and improved platform functionality using Laravel, Node.js, Vue.js, and Python scripts. My work on the E-Commerce Revamp Project increased development speed by 20%.

I optimized PostgreSQL queries and caching strategies with Redis for the Product Catalog Optimization Project. These changes reduced application latency and page load times by 25%.