I'm Simranjeet Kaur Sandhu

Full-stack nature tour booking web app built with Node.js, Express, and MongoDB, delivering smooth user experiences with server response times under 200 ms even under typical loads. Featured secure payment processing simulation for mock transactions with zero failures during demos, showcasing robust backend handling and real-time interactivity.

Emotion recognition system developed with Librosa and the RAVDESS dataset, leveraging CNN and DNN models to classify emotions from audio with 72.74% accuracy—surpassing baseline results by approximately 15%. Processed and augmented around 1,000 audio samples through feature extraction and data enhancement techniques to improve model robustness and generalization within tight project timelines. Demonstrates hands-on expertise in audio signal processing, deep learning model training, and performance optimization for real-world ML applications

Full-stack expense tracking app engineered with Angular frontend and Firebase backend, featuring seamless authentication and real-time database sync for efficient financial management. Reduced manual UI testing effort by 20% through Selenium automation integrated with GitHub Actions CI/CD pipelines. Delivered secure Firebase authentication supporting reliable login for all test users, ensuring robust access control and data integrity.