I am an M.Tech student in Artificial Intelligence at the University of Hyderabad with a strong interest in developing reliable and explainable AI systems.

My work spans:

• Machine Learning
• Deep Learning
• Computer Vision
• Retrieval-Augmented Generation (RAG)
• Explainable AI
• AI for Weather Forecasting

I enjoy transforming research ideas into practical implementations through experimentation, reproducible engineering practices, and continuous learning.

• AI Research in Weather Forecasting
• Adaptive Retrieval-Augmented Generation (RAG)
• Deep Learning for Telugu Handwritten OCR
• Explainable AI
• Large Language Models

• Machine Learning
• Deep Learning
• Computer Vision
• Natural Language Processing
• Generative AI
• Retrieval-Augmented Generation
• Explainable AI
• Weather Forecasting using AI

An adaptive RAG system that dynamically improves retrieval quality through chunk optimization, semantic search, and retrieval evaluation.

Deep learning pipeline for Telugu handwritten character recognition using PyTorch with GPU acceleration and progressive dataset management.

Research focused on physics-informed learning, multimodal AI, explainable AI, and modern forecasting architectures including GraphCast and GenCast.

Predictive maintenance system leveraging machine learning and sensor data to forecast industrial equipment failures.

• Diffusion Models
• Transformer Architectures
• Large Language Models
• AI Agents
• Explainable AI
• Physics-informed Deep Learning