As a researcher and Full Stack AI Engineer with a PhD in Materials Science and Engineering, I lead a specialized research team exploring the intersection of materials science, AI, and quantum chemistry. My work focuses on leveraging AI techniques to deepen our understanding of quantum materials and enable advanced modeling approaches.With 20+ publications in leading journals, my expertise spans deep learning model engineering, quantum chemistry, and materials modeling. I specialize in developing and deploying AI models, with experience in AI-assisted Density Functional Theory (DFT) and end-to-end app development using TensorFlow, PyTorch, Hugging Face, and Scikit-learn. From fine-tuning transformers with LoRA/PEFT to engineering retrieval-augmented generation (RAG) systems, I bring hands-on expertise across text, graph, and image data modalities.Passionate about advancing AI-driven materials discovery, I focus on projects that bridge theoretical knowledge with applied AI, working closely with a team on foundational research and emerging applications.
Listed skills include Materials Science, Matlab, Scanning Electron Microscopy, Characterization, and 29 others.
