About

Vakul Singh is a highly motivated and skilled Software Engineer at Societe Generale Global Solution Centre with a relevant experience of 2.20 years. He has a strong background in Web and AngularJS development, as well as experience in Data Science and Machine Learning. Vakul has a Bachelor's and Master's degree in Geophysical Engineering from the prestigious Indian Institute of Technology, Roorkee. He has worked on various projects during his academic career, which has helped him to develop his technical skills and gain practical experience. During his tenure at Bigphi as a Software Engineer Intern, Vakul developed a warehouse selection module in the existing warehouse management web app to provide city-wise user access. He also created a new console for admin and integrated Rest APIs to add, update and delete user options in the admin console using Angular framework. Additionally, he developed a better interface and maintained (cookie-based) sessions. As a Data Science Intern at Kritrim, Vakul worked on the AutoML engine ML4ALL, which focused on automating machine learning. He developed a suite of dimensionality reduction methods for the ML4ALL core models and built a JSON Data pipeline bridging the ML4ALL interface to the dimensionality reduction API. He also compared and tested the performance between multiple methods. Currently, Vakul is working as a Software Engineer at Societe Generale. He is responsible for developing and maintaining various web applications for the company. He is proficient in various programming languages and technologies, including Web and AngularJS development, Data Science, and Machine Learning. In summary, Vakul Singh is a highly skilled Software Engineer with a strong background in Web and AngularJS development, Data Science, and Machine Learning. He is a quick learner and has a passion for learning new technologies. He is a valuable asset to any organization that he works for.