Building Intelligent Systems That Transform Data Into Impactful Solutions.
I'm a final-year B.Tech AI student at GH Raisoni College of Engineering, Nagpur, with a deep passion for building intelligent systems that solve real-world problems.
My expertise spans Computer Vision, Deep Learning, and Explainable AI — I've built end-to-end systems including a YOLO-based lung disease detection pipeline with Grad-CAM explainability and PDF report generation.
On the frontend, I've worked as a developer intern at both Bluestock FinTech and Raycura Medical Technologies, building production-grade React.js applications, integrating REST APIs, and delivering responsive, performant UIs.
I aim to bridge the gap between AI research and real-world engineering — building systems that are not just accurate, but transparent, scalable, and impactful.
CNNs, YOLOv8, TensorFlow, PyTorch, Grad-CAM, Federated Learning, Explainable AI for healthcare applications.
Real-time object detection, medical image analysis, OpenCV pipelines, YOLO-based disease detection systems.
React.js, responsive UI design, REST API integration, PostgreSQL, Bootstrap — production-ready web apps.
Healthcare AI, Explainable AI, Federated Learning, AI for social impact, bridging ML research and deployment.
A curated set of technologies I use to build intelligent, scalable, and beautiful products.
End-to-end AI systems and web applications built with real-world impact in mind.
An intelligent computer vision system detecting multiple lung diseases from chest X-ray images using a customized YOLOv8 model with Grad-CAM explainability and automated PDF report generation.
A full-stack responsive web application for managing IPO listings, user applications, and financial data with admin dashboard, authentication, and real-time API integration.
Desktop application allowing clinicians to upload chest X-ray images, receive disease predictions with annotated bounding boxes, and automatically generate detailed PDF diagnostic reports.
Recognised for the Lung Disease Detection AI system among top engineering projects
Represented AI department students in college governance and academic activities
Led discipline and coordination responsibilities for the Artificial Intelligence department
Co-organised major college tech and entrepreneurship events, leading teams and managing logistics
Open to AI engineering roles, research collaborations, and frontend development opportunities.
krishnabhure2004@gmail.com
linkedin.com/in/krishna-bhure-589735246
github.com/Krishnabhure04
Nagpur, Maharashtra, India
+91 7276062612