About

Swapna Agarwal is a highly experienced Research Scientist with over 11 years of experience in the field of Computer Vision, Image Processing, ML, Neural Networks, Image Segmentation, Pytorch, Python, AI, Deep Learning, Software Engineering, and Android. Currently working as a Scientist at TCS, she has previously worked at the Indian Statistical Institute as a Project Linked Person and Junior Research Fellow. Swapna holds a Doctor of Philosophy degree from the Indian Statistical Institute, Kolkata, which she completed in 2016. Prior to that, she completed her Master of Science from Chatrapati Sahuji Mahraj Kanpur University, Kanpur, and her Bachelor of Science from Raja Narendra Lal Khan Women's College. Swapna's expertise lies in developing and implementing cutting-edge computer vision and machine learning algorithms for various industrial applications. She has a strong background in image segmentation, object detection, and recognition using deep learning techniques. She is proficient in programming languages like Python and has experience in working with popular deep learning frameworks like Pytorch. Swapna's technical skills are complemented by her excellent communication and teamwork abilities. She is a proactive problem-solver with a keen eye for detail and a passion for innovation. She has a track record of delivering high-quality work and has contributed to several research projects in her field. Overall, Swapna is a highly skilled and experienced Research Scientist with a proven track record of success in her field. She is constantly seeking new challenges and opportunities to further develop her skills and contribute to the field of computer vision and machine learning.