Developed and maintained microservices-based backend systems for customer engagement and revenue optimization using Python, Flask, and Django, with robust RESTful APIs enabling seamless frontend-backend integration.
Designed dynamic user interfaces with React.js and TypeScript, enhancing user experience while addressing key customer pain points through data-driven insights.
Built and integrated machine learning models into the system backend for customer churn prediction, leveraging TensorFlow and scikit-learn, and deployed them via RESTful APIs to enable real-time proactive retention strategies.
Optimized database performance using PostgreSQL and MongoDB, ensuring scalable and efficient data handling, while automating CI/CD pipelines with Jenkins, Docker, and Kubernetes for rapid and reliable deployments.
Migrated legacy systems to cloud platforms like AWS, enabling higher scalability, availability, and cost efficiency while adhering to security best practices and minimizing production downtime.