About

Meghal Darji is an accomplished Machine Learning Software Engineer with over 1.44 years of experience in the field. Currently working at Qualcomm, she is responsible for developing and implementing machine learning algorithms for various projects. With her expertise in ML and software engineering, she has been able to make significant contributions to the company's success. Meghal's academic background is impressive, having completed her Bachelor's in Technology in Electronics and Communication from Sardar Vallabhbhai National Institute of Technology, Surat, and currently pursuing her Master's in Engineering in Electrical and Computer Engineering from the University of Windsor. She has also completed her HSC and SSC in Science from Anandalaya Educational Society. During her time at the University of Windsor, Meghal served as an MEng Mentor, where she guided new graduate students through one-on-one support meetings, modeled problem-solving and academic skills, and assisted students by providing them with resources and information on various services offered by the University. She also worked as a Summer Research Intern at Sardar Vallabhbhai National Institute of Technology, Surat, where she conducted research on the state-of-the-art object detection methods and prepared a data set of Indian license plates. She utilized TensorFlow Object Detection API to perform license plate detection using different model architectures. Meghal's technical skills include ML, Software Engineering, Object Detection, Research Scientist, Object Detection, and TensorFlow. With her expertise in these areas, she has been able to make significant contributions to the projects she has worked on. She is a dedicated and hardworking individual who is always eager to learn and grow in her field.