An accomplished research and development engineer with a strong background in computational mechanics and over 8 years of hands-on experience in product development, project management and customer support.Core Competencies: Finite Element Simulation, AI and Machine learning, Algorithmic development, Material modelling and optimization Professional Know-how: ABAQUS CAE, Python, C++, Matlab, Siemens NX Currently working as research and development lead at Imprintec GmbH, an innovative startup in the area of Material quality assurance.Some of my key responsibilities and achievements are:1. Finite element Simulation, optimization and algorithm development++ Damage and fracture analysis of additively manufactured parts++ Method development and material modelling of Titanium alloys (Ti-64)++ Optimization of inverse parameter identification using indentation++ Anisotropic finite element simulations of Indentation of aluminum2. AI and Machine Learning++ Conceptualized, developed and integrated machine learning module to predict ductility of a material using indentation++ Research lead for novel methods of quality assurance for additively manufactured or 3D printed parts ( BMWK: TTP-LB and BMBF: KMU projects)++ Determine anisotropic mechanical properties of Aluminum using Hybrid data-driven ( FE simulation data + experimental data) powered machine learning models3. Programming and GUI development ( Python, C++ and Qt)++ New module and feature development for Imprintec i3D user interface++ Developed a user interface module for high temperature testing in partnership with DLR ( Deutsches Zentrum für Luft und Raumfahrt)4. Technical Sales and Support++ Provide customer support, technical expertise for sales