Manoj Billur Nagendra Prasad

Worked in the Digital Transformation & Innovation team on industrial AI solutions. Developed an image-based anomaly detection pipeline for weld/bolt inspection and built an LLM-driven document intelligence agent for automated KPI extraction from multilingual manufacturing documents.

Worked as a Machine Learning Engineer (Client: Google), developing and optimizing ML pipelines for text and object extraction. Focused on data preparation, feature engineering, model evaluation, and cloud deployment in production environments.

Worked as a Business Analyst (Client: JPMorgan Chase), supporting the onboarding of internal applications to a new access management platform. Coordinated with technical teams to ensure secure integrations and smooth system transitions.

Master’s student in Electrical Systems Engineering at Paderborn University with a specialization in Machine Learning and Data-Driven Systems. Focused on deep learning, time-series modeling, and deployment-oriented AI solutions, with experience in multimodal sensor data, and reproducible ML pipelines.