About

Swarali Borde is a highly skilled Software Engineer with a focus on Machine Learning and expertise in Python, Tensorflow, and Neural Networks. Currently working at Signify as a Full Stack Engineer, Swarali is responsible for developing innovative solutions in the Internet of Things (IoT) space. Prior to her current role, Swarali gained valuable experience as a Machine Learning Intern at Persistent Systems, where she worked on a real-time configurable Visual Question Answer (VQA) system using multimodal Neural Networks. She also applied transfer learning techniques, such as Inception-v3 and Xception, to achieve higher accuracy. This project was performed under the guidance of Dr. Bhushan Garware at the Healthcare-Life Sciences Lab, and the technology stack used included Tensorflow, Python, and PyQt5. Swarali holds a Bachelor of Engineering degree in Computer Engineering from Pune Institute of Computer Technology, where she completed her studies in 2020. Her education has provided her with a strong foundation in computer engineering, which she has built upon through her professional experience. With 2.78 years of relevant experience, Swarali has proven herself to be a talented and dedicated Software Engineer. She is passionate about using her skills to develop cutting-edge solutions in the field of Machine Learning and is always eager to learn new technologies and techniques.