Beion Jacob

Motivated graduate student at RWTH Aachen University with practical experience in industrial automation and robotics from a family-owned business. Proficient in Python, ROS, and robotic arm integration, with a focus on industrial digitalization. Demonstrated leadership in projects, remote collaboration, and success in multicultural teams. Committed to continuous growth and innovative problem-solving.

• International Project Management for Engineers at RWTH Aachen University (06/2024)
• Data Analytics and AI Machine Learning workshop at LNCT, Bhopal (09/2024)

Implementation of Robotic Welding Systems for Railway Engines Control Panels Manufacturing (JJ Engineers)

• Successfully integrated Panasonic welding robotic arms with PLC control systems, enabling smooth automation workflows that increased production efficiency.
• Programmed and optimized robot-PLC coordination to achieve precise welds, including hard-to-reach and difficult joints, improving product quality and consistency.
• Collaborated with engineering teams to troubleshoot and fine-tune system performance, minimizing downtime and ensuring reliable operation in demanding manufacturing environments.

Thesis Project: Online Food Ordering System with Machine Learning Integration

• Led the design and development of a web-based food ordering system using Python, Django, and SQLite.
• Integrated machine learning algorithms to provide personalized menu recommendations and improve customer experience.
• Delivered a platform enabling customers to browse menus, place orders, and manage bookings online efficiently.
• Coordinated the development process, ensuring seamless integration of front-end and back-end components and secure order processing.