Extensive hands-on experience with twin-screw granulators, fluidized bed systems, and comprehensive powder characterization equipment including particle size analysers, dissolution testing apparatus, and material property measurement devices.

Proficiency in Discrete Element Method (DEM) for particle-scale simulations and Computational Fluid Dynamics (CFD) using ANSYS Fluent and Star CCM+ for multiphase flow modelling. Python with scikit-learn for data analysis and machine learning applications.

Advanced capabilities in gPROMS for dynamic process modelling and Aspen HYSYS for steady-state process design. MATLAB for mathematical modelling and algorithm development.

Expertise in SOLIDWORKS for equipment design and mechanical component development. This enables me to tackle powder processing challenges from molecular-scale interactions to plant-wide optimization.

Apply Quality by Design principles, Design of Experiments (DoE) methodologies, and Process Analytical Technology (PAT) concepts to develop robust, scalable processes aligned with therapeutic objectives.

Skilled in statistical process control, machine learning algorithms, and process parameter optimization techniques to drive data-driven decision making in manufacturing environments.