About

Kunal Telgote is a highly skilled Deep Learning and Computer Vision expert with over 4 years of experience in the field. He has a strong background in Electrical, Electronics and Communications Engineering, having completed his Master of Technology degree from the prestigious Indian Institute of Technology, Bombay. Kunal has also completed his Bachelor of Technology degree in Electrical Engineering from the same institution. Currently working as a Manager at jio, Kunal is involved in 5G, RnD, Big Data, Software Development, Java, Elastic Search, and Docker. He has a diverse skill set and is proficient in a range of technologies, including Computer Vision, Software Engineering, Deep Learning, Docker, Big Data, Elastic Search, Search, Java, test, and Python. In his previous role as a Computer Vision Intern at dorabot, Kunal was responsible for constructing an image classification dataset of Anime characters using the BeautifulSoup python library. He also trained a VGG-like classifier network on the created dataset of 1k images to achieve a mean accuracy of 90% on 200 images. Additionally, he built and annotated a proprietary dataset of 2k images with the LabelMe annotation tool to train the Faster RCNN model. Kunal achieved a mean Average Precision of 0.8 on a test dataset across multiple classes consisting of barcodes and envelopes. With his strong academic background and extensive experience in the field, Kunal is a highly skilled professional who is always eager to learn and grow. He is passionate about using his expertise to develop cutting-edge solutions that can solve complex problems. Kunal is an excellent team player and has a proven track record of delivering high-quality work within tight deadlines.