Chaitanya Mhetre

At Mercedes-Benz AG, I shipped a production AI pipeline that automated wirelist creation for automotive engineering teams. I also industrialized LLM pipelines that use OCR and structured reasoning to extract and classify information from engineering documents.

As a Software Engineer at Mercedes-Benz AG, I developed Python backend services and data extraction frameworks that automated engineering project analysis and reporting. I also built pipelines to transform and analyze ECU software and hardware planning data.

At ETAP Automation Pvt. Ltd., I developed power-system simulation models and Python data pipelines for analysis and predictive decision-making. I also investigated CNN and LSTM approaches to short-circuit current prediction against ETAP simulation benchmarks.

For my master’s thesis at the Institute of Robust Power Semiconductor Systems (ILH), I built sensor-data pipelines and evaluated fusion strategies for multimodal failure classification. My PyTorch Transformer reached 80% accuracy using transfer learning, compared with a 61.67% starting result. I’ve also built a local RAG documentation chatbot and deployed an ML pipeline on Kubernetes.