Raparthi Vamshidhar

I'm an AI/ML enthusiast who loves building things at the intersection of research and real-world applications. Most of my projects revolve around deep learning—like training a CNN to detect objects in satellite images, building a deepfake vs. real image classifier with solid accuracy, or experimenting with transformers for video moment retrieval. I also enjoy creating smaller applied AI systems, like an intelligent nutrition tracker that uses LLMs. Outside of just coding models, I like exploring the "what if" side of AI—playing with generative models, trying out new data augmentation tricks, and testing how large language models can be plugged into research or everyday tools. For me, AI is less about theory alone and more about how it can be hacked together into something useful (or sometimes just fun).