Badvelu Sai Yaswanth Kumar Reddy

Highly-motivated Student with desire to take on new challenges. Strong work ethic, adaptability, and exceptional interpersonal skills. Adept at working effectively unsupervised and quickly mastering new skills.

Introduction to Python, Infosys Springboard, 05/26,

• Music Instrument Recognition Using CNN, Published Research, Engineered a robust Convolutional Neural Network architecture to classify musical instruments from raw audio inputs via feature extraction., Peer-reviewed and presented findings in the paper 'Robust CNN-Based Musical Instrument Recognition with Enhanced Feature Learning' at the 8th International Conference on Innovative Computation Technologies (ICICT-2025), Tribhuvan University, Nepal.
• Bus Routing System Using Dijkstra's Algorithm & Binary Heap, Developed a graph-based transit routing application utilizing Dijkstra's Algorithm optimized with a Min-Binary Heap structure. Enhanced computational efficiency for multi-stop navigation by minimizing shortest-path lookup time complexity to O((V + E) log V). Implemented advanced data structures to handle dynamic graph node data for real-time optimal pathing calculations.
• Fraud Detection in Financial Networks, Designed a conceptual fraud detection pipeline focused on identifying structural anomalies and suspicious behavior in financial transactions. Researched network graph approaches to detect fraudulent patterns and efficiently flag malicious actors within transactional datasets.
• Intelligent Controlled Microgrid Stability, Explored intelligent microgrid infrastructure and evaluated control methodologies to boost power system resilience. Studied the implementation of Virtual Synchronous Generators (VSG) to stabilize grid performance against sudden load fluctuations.