Core practice spans Java, Python, and C/C++ for software development, algorithm design, and performance-focused implementation. Data Science | AI work includes data handling, model prototyping, and analytical scripting, with coverage extending from application logic in Java to exploratory workflows in Python and lower-level programming in C and C++.

Additional familiarity includes Matlab for numerical computing and simulation-oriented tasks. Introductory exposure to Robotics and Automation extends into Electric Circuits and CAD, with lighter work in Visual Basic and Android Development for small utilities and app-side implementation.