About

Maitri Shah is a dynamic Computer Vision Engineer with a passion for exploring new technologies and learning new skills. Currently working at Semitronik Instruments, Maitri is responsible for developing and implementing computer vision solutions for a variety of applications. With over 2 years of relevant experience, Maitri has a proven track record of delivering high-quality work on time and within budget. Maitri's journey in the field of engineering began with a Bachelor's degree in Electronics and Communications Engineering from Dharmsinh Desai University. During her time at university, Maitri developed a keen interest in computer vision and began exploring this field in greater detail. This led to internships at Adani Group and Electrotherm (India) Limited, where she gained valuable hands-on experience in computer vision technologies. Maitri's technical expertise includes a deep understanding of computer vision algorithms and machine learning techniques. She is proficient in programming languages such as Python and C++, and has experience working with popular computer vision libraries such as OpenCV and TensorFlow. Maitri is also skilled in data analysis and visualization, which allows her to extract insights from complex datasets. Maitri's passion for learning and exploring new technologies is evident in her LinkedIn headline, which describes her as a "Learner Explorer Hustler". She is always on the lookout for new challenges and opportunities to expand her skills and knowledge. In her free time, Maitri enjoys reading about new technologies, attending tech conferences, and participating in hackathons. Overall, Maitri is a highly motivated and skilled Computer Vision Engineer with a passion for learning and exploring new technologies. With her technical expertise and commitment to excellence, she is well-positioned to make a significant contribution to any organization she works with.