I possess a diverse range of technical skills that bridge experimental and computational chemistry. I am proficient in using computational tools such as **GAUSSIAN, ORCA, MOLCAS, and GROMACS** for quantum chemistry calculations, molecular dynamics simulations, and excited-state modeling. My expertise extends to programming languages like **Python, Linux, and MATLAB**, which I utilize for data analysis, automation, and machine learning applications in molecular systems. In experimental domains, I am skilled in material characterization techniques, including **UV-Vis, FTIR, NMR, Raman spectroscopy, XRD, and SEM**, as well as chromatographic separation methods like **HPLC**. Additionally, I have experience with visualization tools such as **ChemDraw, Avogadro, and PyMOL** for molecular modeling and structure analysis. This comprehensive technical skill set enables me to approach complex problems in chemistry with innovative and multidisciplinary solutions.