Raghavi L is a Senior Software Engineer with seven years of experience building high-performance, responsive web applications using React, Redux and modern web technologies. She spent six years at IBM delivering Agile-driven UI solutions and recently moved to Capgemini to continue scaling customer-facing applications. Beyond front-end expertise, she has hands-on experience with Node.js, testing with Jest, CI/CD pipelines and databases like Cassandra and SQLite. An unexpected strength is her data-science side: she contributed CNN and XGBoost music-genre classification work and a Flask-based demo in a widely shared ML project repository, bridging ML prototyping with production-ready web interfaces. Based in Chennai, she combines rigorous SDLC practices with a practical eye for performance optimization and cross-browser compatibility.
7 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at DMI College of Engineering
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Role in this project:
Data Scientist
Contributions:50 commits, 1 PR, 8 comments in 1 day
Contributions summary:Raghavi contributed significantly to a music genre classification project, developing and implementing both a Convolutional Neural Network (CNN) model and an XGBoost model. Their work involved data loading, preprocessing, and model building. They also created a Flask application for user interaction, enabling users to upload audio files and receive genre predictions based on the trained models.
Contributions:3 pushes, 1 branch in 2 years 5 months
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