Md. Azizur Rahman has cultivated a robust foundation in solar energy conversion and computational simulations through his academic and practical experiences. His expertise includes hands-on proficiency with SCAPS-1D Software, DFT-CASTAP, and DFT-Quantum Espresso, tools essential for modeling and analyzing photovoltaic devices and materials. This technical skill set has enabled him to conduct detailed simulations and analyses, contributing to the optimization of solar energy systems. Azizur’s experience also encompasses a broad range of technical competencies, including operating systems (Windows 7, 8.1, 10), word processing (Microsoft Word), spreadsheet analysis (MS Excel, MS Access, Origin Pro), and presentation software (MS PowerPoint). Additionally, he is adept in Internet of Things (IoT) applications, internet browsing, Photoshop, and programming in C/C++. His practical and diverse technical expertise positions him well for a successful career in electrical and electronic engineering, particularly in environmentally sustainable energy solutions.