Hi, I’m Yuvaraj Madugu, a B.Tech student (2022–2026) specializing in Artificial Intelligence & Machine Learning. passionate about solving real world problems. I'm skilled in Java, backend development, and AI/ML. I have a strong foundation in Data Structures & Algorithms, and hands-on experience with Machine Learning projects and API development. I’m eager to apply my knowledge to contribute to high-impact, scalable software solutions. Let’s connect and create innovative software solutions together!
May 2025 - July 2025
• Developed AI-based Engagement Insight Engine using Python & ML models to generate personalized end-user nudges.
• Built and deployed FastAPI microservice with Swagger UI for testing.
• Delivered production-ready Dockerized solution with unit testing, logging, and achieved ~95% model accuracy.
August 2025 - October 2025
• Gained strong technical skills in Java, backend technologies, and full-stack development.
• Designed and delivered RESTful web services using Spring Boot, tested APIs with Postman for CRUD operations.
• Trained in professional readiness, workplace etiquettes, and interpersonal skills.
Kommuri Prathap Reddy Institute of Technology | JNTUH
2022 - 2026Narayana Junior College
2020 - 2022Gowtham Model School
2019 - 2020TCS | February 2025
Vignan Institute of Technology | March 2025
SAK Informatics | August 2024
Lets Upgrade | January 2025
MongoDB | July 2024
Forage,AWS | April 2025
Unstop | April 2025
Lets Upgrade | March 2025
Developed a crop yield prediction model using Python, applying classification algorithms like Logistic Regression and SVM. Executed data preprocessing, feature selection, and visualization to improve model accuracy. Optimized performance and real-world dataset validation.
Designed and implemented a machine learning-based predictive framework to forecast long-term water quality indicators (pH, turbidity, oxygen, etc.) using weighted regression techniques.
Developed a console-based library management system using Java, demonstrating proficiency in OOP principles. Implemented classes representing books and users. Designed interfaces for issuing and returning books. Technologies: Java, File Handling.
Developed a console-based Coffee Ordering System using Java, demonstrating object-oriented programming principles. Implemented features for order placement, billing, and inventory management. Designed user-friendly menus, handled input validation, and ensured smooth workflow for managing customer orders efficiently.
Developed a responsive clone of a streaming platform. Designed an intuitive layout, movie thumbnails, and hover effects. Focused on responsive design for multiple devices.
Developed an end-to-end machine learning system to predict optical signal quality (Good/Poor) in fiber-optic communication networks using real-world transmission parameters. The project covers the complete ML pipeline including data preprocessing, exploratory data analysis, class imbalance handling, model training, evaluation, and deployment-ready inference.
Developed a Placement Management System using Spring Boot that provides full CRUD (Create, Read, Update, Delete) functionality through RESTful APIs. The application manages placement records including student name, college, qualification, placement date, and year. The project follows a layered architecture (Controller → Service → Repository → Entity) to ensure clean code separation and scalability. Spring Data JPA is used for database interaction, enabling efficient persistence with minimal boilerplate code. REST endpoints were tested using tools like Postman.