Shreyas S.

Web Development | Artificial Intelligence, Neural Network, C++

Projects Exploring the Impact of Virtualization on the Usability of Deep Learning Applications Teach Stack: Cloud Computing, Google Cloud Platform – Measured the impact of execution platforms (namely, bare-metal, virtual machine (VM), container, and container in VM) on the E2E inference time of four types of DL applications – Implemented changes in processor configuration (4 Cores to 64 Cores) and types (scale-up and CPU pinning) to uncover best practices for efficient deployment of DL applications across diverse systems. _______________________ Digital Library Management System Teach Stack: MySQL, HTML, CSS, PHP GitHub - Developed a robust database structure for storing and retrieving digital records. - Enhanced user experience through seamless navigation, search functionality, and personalized features within the digital library platform. _______________________ Credit Card Fraud Detection Teach Stack: Python, NumPy, Pandas, Matplotlib, Sklearn, tensorflow – Preprocessed a dataset of size 285K and addressed highly imbalanced data (1:600 ratio), identifying and mitigating outliers to enhance data quality. – Trained 6 models (Logistic Regression, K-Nearest Neighbors, Support Vector, Decision Tree, Random Forest, Neural Network) and conducted a comprehensive accuracy comparison to identify optimal model performance.


  • Neural Network
  • MySQL
  • Machine Learning
  • Python
  • Data Analytics
  • Java
  • Web Application
  • Algorithms