Music Recommendation System
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Summary
Developed a full-stack music recommendation system leveraging Python for backend logic and Streamlit for an interactive frontend, providing personalized song suggestions.
About
Highly motivated Computer Science Engineering graduate with a strong foundation in Linux administration, cloud infrastructure, and DevOps principles. Eager to contribute to system maintenance, troubleshooting, and cloud environments, leveraging hands-on experience in building scalable applications with Python, React, and AWS services. Possessing a keen ability to learn quickly and apply technical skills to solve complex problems in Red Hat, Ubuntu, and AWS ecosystems.
Education
Keshav Memorial Institute of Technology
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B.Tech
Computer Science Engineering
Grade: CGPA: 6.5
Courses
Data Structures and Algorithms
Operating Systems
Computer Networks
Cloud Computing
Software Engineering
Sri Chaitanya Junior College
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Class XII
Pre-Engineering
Grade: Percentage: 68%
St. Paul's High School
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Class X
General Studies
Grade: GPA: 8.5
Skills
Operating Systems
Linux (RHEL, Ubuntu, CentOS).
Cloud Platforms
AWS (EC2, S3, IAM).
DevOps & Automation
Ansible, Docker, Kubernetes, CI/CD Concepts, Jenkins.
Programming Languages
Python.
Web Technologies
React JS, Streamlit.
Projects
E-Commerce Website
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Summary
Designed and deployed a scalable e-commerce platform using React JS for the frontend and AWS S3/IAM for robust backend infrastructure.