Professional Overview
PhD in Electrical Engineering specialized in multiphysics modelling, scientific computing and simulation-driven engineering. Strong background in Python, FEM, numerical methods and data analysis, with experience developing physics-based models and computational tools for complex engineering systems and multidisciplinary R&D.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.