About

Saurav Likhar is a talented Software Engineer currently working at Microsoft. He graduated from the prestigious Indian Institute of Technology, Kharagpur with a degree in Computer Science and Engineering. With over 2 years of relevant experience, Saurav has a strong foundation in software development and is well-versed in computer vision and deep learning. During his time at JP Morgan Chase & Co, Saurav completed a task of signature detection and verification from a document in the offline mode using image processing techniques. He achieved an accuracy of 91% using a CNN classifier to classify images as true signatures. Furthermore, he computed dissimilarity scores between candidate signatures and stored genuine signatures and applied a modified dynamic time warping method to verify the signature of the user. Saurav's work at JP Morgan Chase & Co demonstrates his ability to tackle complex problems, and his expertise in computer vision and deep learning. As a member of the robotics team at JP Morgan Chase & Co, Saurav had the opportunity to work on exciting projects and learn new things. His task was primarily based on computer vision and deep learning, which helped him to develop a strong foundation in these areas. Saurav's technical skills include software engineering, computer vision, deep learning, CNN, and image processing. He is a quick learner and has a passion for solving challenging problems. Saurav's education and experience make him an asset to any team, and his commitment to excellence ensures that he always delivers high-quality work. Overall, Saurav is a talented and driven individual who is committed to his work and always strives to improve his skills. He is a valuable asset to any team and is sure to make significant contributions to any project he works on.