MOHMED ABUL HASSAN S

solar electric vehicle championship

Participated in the Solar Electric Vehicle Championship (SEVC) as part of a team, gaining practical experience in electric vehicle design, fabrication, and testing. I learned about solar-powered vehicle systems, electrical and mechanical components, teamwork, and problem-solving while working on the vehicle. This experience helped me connect my Mechanical Engineering knowledge with real-world electric vehicle technology.

Schneider Electric India Pvt Ltd · Coimbatore

I completed a one-month internship at Kriyatech, where I worked with the Stores Department. During my internship, I gained practical experience in receiving and issuing materials, maintaining stock, updating inventory records, and understanding day-to-day material management activities. This internship helped me improve my practical knowledge and understand how inventory and material handling are managed in an organization.

• Material receiving
• Issuing
• Stock maintenance
• Inventory recording

Sigaram CNC Technology

I completed Industrial Exposure Training at Sigaram CNC Technology, where I gained exposure to a real industrial working environment. The training helped me understand how CNC-based manufacturing activities are carried out and gave me practical exposure to industrial processes. It also helped me develop a better understanding of workplace discipline, punctuality, and professional practices.

ATHES AUTOMOTIVE ENGINEERING PVT LTD

Completed an internship at ATHES Automotive Engineering Pvt. Ltd. where I gained practical exposure to defense manufacturing and engineering components. I learned about the manufacturing processes, design considerations, materials, quality standards, and production workflows involved in developing defence-related parts. This internship enhanced my technical knowledge, problem-solving abilities, and understanding of real-world engineering and manufacturing practices.

Face recognition is a biometric technology that identifies or verifies individuals based on their facial features. It works by detecting, analyzing, and comparing facial patterns from images or videos to a database.

Developed an AI-based project to predict the drying performance of a solar dryer. The project focused on analyzing drying-related parameters and using AI techniques to predict drying performance. Through this project, I gained practical knowledge in solar drying technology, data analysis, AI-based prediction, and problem-solving, while applying engineering concepts to improve the understanding and efficiency of the drying process.