👋 Hi, I'm Raghvender

I’m a Ph.D. graduate in Computational Materials Science and currently serve as an AI Research Engineer at PreDeeption, a deep-tech startup pioneering Generative AI solutions for battery life-cycle prediction.

My work bridges physics and machine learning — leveraging techniques like Variational Autoencoders (VAEs), diffusion models, and autoregressive transformers to model and forecast battery degradation across life cycles.

I’m driven by the challenge of turning complex scientific domains into interpretable, scalable, and elegant ML systems — always with an eye toward real-world impact and sustainability.