kishore reddy

Developed a deep learning model for pneumonia detection in X-ray images, achieving 95% classification accuracy. Deployed on Kubernetes with a Flask interface for image uploads and predictions.

Built a predictive maintenance model for industrial equipment using time-series sensor data, achieving 90% accuracy in failure prediction. Deployed as an AWS SageMaker endpoint with real-time monitoring capabilities.

Developed an AI-driven web application for querying research documents using Retrieval-Augmented Generation, achieving 85% query accuracy and reducing response time by 60%. Deployed on Google Cloud Run with a Streamlit frontend.

Created interactive dashboards using Python libraries, significantly reducing stakeholder decision-making time by 30%. Developed a comprehensive data visualization guide to standardize best practices across the company.

Enhanced machine learning models for signal processing, increasing classification accuracy by 15%. Organized workshops on Python and data analysis, successfully training over 100 students with high satisfaction ratings.

Pursuing a degree in Computer Science at the School of Science and Engineering, focusing on advanced topics in AI and machine learning.

Completed a degree in Electronics and Communication Engineering, gaining foundational knowledge in electronics, signal processing, and communication systems.