Open to Collaborate
Hi, I'm
Madhudhanusu K
I am a
Aspiring Software Developer focused on building reliable systems and transforming data into actionable insights.
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Aspiring Software Developer focused on building reliable systems and transforming data into actionable insights.
Get Resume
I’m Madhudhanusu, a developer who enjoys solving real-world problems through systems thinking, data insights, and solid backend engineering. I believe data reveals patterns and systems bring structure, which drives my interest in backend development, system design, and cognitive science. I work with . Java, Python, SQL and Spring Boot, focusing on clean, scalable, and reliable architectures My goal is to build systems that deliver clarity, value, and real impact. If you’re looking for someone who thinks deeply and builds with intention, I’d be glad to connect.
Sri Sairam Institute of Technology | 2022 - Present
CGPA: 7.74Worked on the Care Plus project, developing the backend with Java Spring Boot, designing a Snowflake-schema database, and implementing JWT-based authentication. Contributed to patient and appointment management modules while following Agile practices, gaining hands-on experience in backend development, data modeling, and building scalable enterprise systems.
Worked on AI projects, building a strong foundation in Python, gaining hands-on experience in model development, data preprocessing, and implementing AI solutions. Strengthened technical skills, problem-solving abilities, and a passion for creating impactful AI applications.
Worked on a real-time cattle monitoring system, creating datasets and developing an object detection model using YOLOv8 for accurate livestock tracking.
Developed a real-time cattle monitoring system using YOLOv8 for object detection. Built and processed custom datasets, trained the model for accurate livestock tracking, and implemented features for activity monitoring, health alerts, and farm management insights, helping farmers manage cattle efficiently.
Built AgriVision, a semi-supervised ML system using YOLOv12 trained on PlantDoc and PlantVillage datasets. It helps farmers detect diseases early, provides remedies and fertilizer recommendations, enables purchases from nearby locations,and offers weather updates with native language support.
Developed CarePlus, an intuitive platform connecting patients with professional and non-professional caretakers. It simplifies patient care, appointments, and task tracking, while providing secure, scalable role-based access, making healthcare management efficient, reliable, and seamless for patients, guardians, and caretakers.
A comprehensive guide to implementing secure stateless authentication in Spring Boot applications.
Read on MediumBest practices for handling large datasets and optimizing database queries using Hibernate JPA.
Read on MediumExploring how Computer Vision and YOLO object detection models are revolutionizing plant disease detection.
Read on Medium