Summary
Rajbanul Akhond is a PhD student and materials scientist with eight years of research and coding experience focused on density functional theory, machine learning–driven materials discovery, and 2D semiconductor systems. He combines strong mathematical and programming skills (Python, C/C++, JavaScript) with hands-on experience using ab initio codes like VASP, Quantum ESPRESSO, and CASTEP on HPC Linux environments. His background spans academic and industrial labs, including modeling defects and heterostructures, building ML models for materials design, and prototyping microwave plasma reactors. Rajbanul is adept at taking projects from concept to publication and presentation, with a track record of producing formal analyses and impactful papers. He values collaborative team science but also excels at independently jump-starting complex simulation and experimental efforts. Currently based in the United States and pursuing doctoral research at Indiana University Bloomington, he brings a rare blend of quantum simulation interest and practical experimental know‑how.
8 years of coding experience
Master of Science - MS, Materials Science, Master of Science - MS, Materials Science at Bangladesh University of Engineering and Technology