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- Pursuing B.E. in Computer Science & Engineering at CMR Institute of Technology, Bengaluru.
- Interested in AI Engineering, Software Development and Full-Stack Engineering.
- Currently learning Generative AI and exploring modern AI technologies.
- Building AI-powered applications using Python, APIs and Large Language Models.
- Experienced in developing full-stack applications using the MERN stack.
- Exploring Deep Learning and Explainable AI through research and projects.
- Open to collaborating on Open Source, AI/ML and Full-Stack Development projects.
- Developed an ensemble-based brain tumor classification approach using DenseNet121 and InceptionV3.
- Explored Explainable AI techniques using Grad-CAM to improve model interpretability.
- Research paper accepted for presentation at ARIIA 2026.
- Developed a learning management platform using Next.js, Node.js and MongoDB.
- Implemented authentication, course management and payment workflows.
- Integrated Razorpay for payment processing.
- Developed a full-stack placement management platform.
- Implemented student, faculty and administrator workflows.
- Built eligibility management, document handling and reporting features.
- Built AI-based applications using Python, NLP and Generative AI APIs.
- Explored intelligent chatbot development and AI-assisted code debugging.
- 📄 Research paper: DenseNet121–InceptionV3 Ensemble for Explainable Brain Tumor Classification Using Grad-CAM – Accepted for presentation at ARIIA 2026.
- 🏆 Smart India Hackathon (SIH) 2025 – CMRIT.
- 🏆 HackAthena25 – 2025.
- 🏆 Flipkart GRID 6.0 – 2024.