About Me
👋 Hi, I'm Raghvender
I'm a Ph.D. graduate in Computational Materials Science and currently work as an AI Research Engineer at PreDeeption — a deep-tech startup building Generative AI solutions for battery life-cycle prediction.
🧬 Generative Modeling Toolkit
I explore and design advanced generative models to tackle challenges in battery life-cycle prediction and beyond.
With a strong foundation in both scientific research and software development, I thrive at the intersection of data, algorithms, and real-world applications. I’m passionate about leveraging AI to push the boundaries of what's possible — from energy technologies to intelligent systems.
🧠 Technical Skills
Languages & Web APIs
Frameworks & Libraries
DevOps & Platforms
🧪 Work Experience
AI Research Engineer
PreDeeption (Startup) 2024 – PresentDeveloping advanced deep learning solutions for battery life-cycle prediction using VAE, VQ-VAE, diffusion, and latent AR models.
Research Engineer
IRCER UMR 7315 CNRS, France 2023Conducted computational modeling of materials using physics-informed ML techniques.
Junior Research Fellow (JRF)
S.N. Bose National Centre for Basic Sciences 2018 – 2019Worked on computational studies in material science with DFT and atomistic simulations.
🎓 Education
Ph.D. in Computational Materials Science
IRCER, University of Limoges 2019 – 2023Masters in Physics
S.N. Bose National Centre for Basic Sciences / University of Calcutta 2016 – 2018Bachelors in Physics
Sharda University 2009 – 2012📡 Stay Connected
I regularly explore and share insights on the latest trends in Machine Learning — from innovative model architectures to impactful real-world applications. Follow my work to stay updated on Generative AI, ML for battery tech, and more!