Devensingh Rajput

• Annotated over 10,000 images for semantic segmentation tasks using deep learning frameworks. • Worked with architectures such as BiSeNetv2, DeepLabv3+, and Fast-SCNN to evaluate performance on real datasets. • Gained experience in data preprocessing, label quality consistency, and dataset preparation for training and validation in semantic segmentation pipelines.

• Led the design and selection of motor systems for a solar-powered electric vehicle prototype. • Contributed to end-to-end vehicle development, including motor integration, testing, and performance optimization. • Performed system-level analysis to improve efficiency and power delivery under real-world conditions. • Collaborated with cross-functional teams (mechanical, electronics) to ensure seamless subsystem integration.

• Developed foundational skills in PLC programming and industrial automation systems. • Implemented control logic and HMI interfaces for automated processes. • Gained exposure to real-world system integration, including sensors, actuators, and control units. • Understood industrial standards and workflows used in modern manufacturing environments.

• Gained hands-on experience in industrial automation systems, focusing on pneumatic control and actuator- based mechanisms. • Developed and simulated automation workflows using CIROS Virtual Training environment. • Worked with Codesys PLC programming, understanding ladder logic and control system implementation. • Analysed real-world industrial processes and translated them into automated control sequences.