Bhuvan Chandra K N — M.Tech Student · Full-stack Developer

About

M.Tech student in Computer Science and Engineering with a strong foundation in full-stack development, Java backend development, and machine learning. Skilled in building web applications using Flask, Django, and MySQL, with a solid understanding of Data Structures and Algorithms, Operating Systems, and software engineering principles. Hands-on experience in developing practical software solutions and solving technical problems. Passionate about software development, machine learning, and cybersecurity, and seeking opportunities to contribute to impactful engineering projects while continuously expanding technical expertise.

Experience

Python Full Stack Development Intern

Codonacci

2025-02-01 – 2025-05-01

Built REST APIs using Flask and Django. Integrated MySQL databases for CRUD operations. Collaborated using Git and Postman.

Java Programming Intern

ISE Dept & JV Global Services

2023-10-01 – 2023-11-01

Implemented backend modules using Java OOP principles. Built small applications with authentication features. Practiced MVC and database interactions. Learned Java fundamentals, OOP principles, and backend integration.

Web development Intern

JV Global Services

2022-10-01 – 2022-11-01

Created responsive webpages using HTML, CSS, and JavaScript. Improved UI and enhancing user engagement.

Education

Class 10

Jawahar Navodaya Vidyalaya, Mysore

85.8 %

M.Tech

VTU Centre for Post Graduate Studies, Mysore

Computer Science and Engineering · 2025 – 2027

Bachelor of Engineering

Malnad College of Engineering, Hassan

Information Science and Engineering · 2021 – 2025 · 8.48 CGPA

Projects

College Canteen Management System

Developed an intuitive, responsive UI for ordering and billing. Integrated frontend with backend workflows for menu and order handling. Implemented validations to improve user experience.

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Paws Connect

Developed Java-based system connecting pet adopters with vendors. Implemented login, vendor profiles, and request workflow. Utilized JDBC for secure database transactions.

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Brain Tumor Detection Using CNN

Developed a CNN-based model to detect and classify brain tumors from MRI images. Built a Flask web application enabling users to upload scans and view predictions. Designed a clean interface for user-friendly diagnosis support.

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Achievements

Participated In Fusion Techathon 2024

Competition

2024-01-01

Participated in Fusion Techathon 2024 (AIET Moodubidre).