Dr. Nivesh Dommaraju

- Strong experience in object-oriented programming with C++ in simulation field; Built quality software through code refactoring and testing with Catch2 frameworks - Developed libraries in data processing, visualization, and modeling (Scikit-learn/Tensorflow/PyTorch) using Python - Designed and implemented RAG-based Chatbot solution for technical manuals using OpenAI Api in Python and Typescript (for web-frontend) - Automated CI/CD pipeline on GitLab using Docker and Python scripts

Responsible for leading the equipment maintenance team at the paint shop of an automobile manufacturing plant. Developed managerial, teamwork, and technical skills to maintain paint robots, conveyor and oven systems.

- Completed a PhD in design optimization of automotive components, specializing in using machine learning and evolutionary algorithms (published in IEEE) - Developed a cooperative optimization framework in Python using clustering and evolutionary algorithms for multi-objective topology optimization - Implemented Autoencoder and regression models to predict performance and optimize designs efficiently using evolutionary algorithms

- Completed masters with an emphasis on structural mechanics, non-linear finite element technology, and high-performance computing (HPC) in C++ - Contributed to an open-source finite element library called DEAL-II in C++ - Used C++ template meta-programming to evaluate tensor expressions

Thermodynamics (Thermodynamik), Automobile engineering, Solid and Fluid Mechanics (Festkörpermechanik und Fluidmechanik)