Karthika Mullangi

Highly skilled Full Stack Developer with 2 years of experience in building scalable, user-focused web applications. Proficient in front-end frameworks like React, Angular, and back-end technologies including Node.js, Django, and Spring Boot. Strong expertise in databases such as PostgreSQL, MongoDB, and Neo4j, as well as RESTful APIs, GraphQL, and microservices architecture. Skilled in cloud platforms (AWS, Azure, GCP), CI/CD, Docker, Kubernetes, and Agile methodologies. Passionate about solving complex problems, delivering high-quality solutions, and staying updated with emerging technologies that increased engagement by 30%.

Book Recommender System: Designed and implemented a hybrid book recommender system using Python, Pandas, and NumPy, combining content-based and popularity-based approaches. Leveraged advanced algorithms for preference prediction, achieving a 68% increase in user engagement. Developed a scalable, modular backend to handle large datasets of users and books, and created a user-friendly website interface with HTML, CSS, JavaScript, and Flask for seamless browsing and personalized recommendations.

Smart Health Prediction System:Built a Smart Health Prediction System using Python and Scikit-learn, implementing the Naive Bayes Classifier to predict diseases based on user-input symptoms. Designed an interactive web interface using HTML, CSS, JavaScript, and Flask for easy symptom entry and results display. Integrated specialist consultation features and implemented robust data privacy measures. Collaborated with healthcare experts to validate predictions and added a feedback mechanism to continuously enhance accuracy.