• 𝗛𝗣𝗖 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴: Acquired a solid understanding in HPC optimization. Basic knowledge of how to parallelize in GPU and CPU was acquired.• 𝗖𝗹𝘂𝘀𝘁𝗲𝗿 𝗖𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗠𝗮𝗶𝗻𝘁𝗲𝗻𝗮𝗻𝗰𝗲: Contributed to the configuration of an initial 24 node, 1500-core HPC cluster. Proficiency gained in SPACK, SLURM, and PBS was accumulated. • 𝗣𝗜𝗖 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀: Collected experience in neural networks for the purpose of particle tracking as an underpinning for high accuracy plasma behavior modeling. • 𝗖𝗼𝗱𝗲 𝗣𝗼𝗿𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗗𝗲𝗯𝘂𝗴𝗴𝗶𝗻𝗴: Started early-stage effort in porting CPU-based codes to GPU with an aim of gaining architecture optimization techniques.