Centred on Simulink for model-based analysis, block-diagram development, and dynamic-system simulation within engineering workflows. Core work covers signal-flow modeling, parameter tuning, and control-response studies, with emphasis on testing system behavior through simulation-led iteration.

Additional familiarity with Matlab supports numerical computing, matrix-based analysis, and plotting for technical problem solving. Python extends this with lightweight scripting, file handling, and small automation or exploratory analysis tasks.