About

Himanshu Pathak is an AI Engineer at SIMBO.AI and mTatva with a passion for open source development and a drive to become a skilled software developer. With almost three years of relevant experience, Himanshu is interested in machine learning and deep learning, and has a strong technical background in areas such as AI, software engineering, ML, SVM, and neural networks. Currently, Himanshu is a Student Developer Mlpack 2020 at Google Summer of Code, where he is working on implementing important deep learning modules for classification. These modules include Radial Basis Kernel SVM, Radial Basis Function Network, and Deep Belief Nets. The latter is a probabilistic generative model composed of multiple layers of stochastic, latent variables, while the Radial Basis Function Network is an artificial neural network that uses radial basis functions as activation functions. The Radial Basis Function Kernel, also known as the RBF kernel or Gaussian kernel, is a kernel that is in the form of a radial basis function. Himanshu's past experience includes working as a Software Engineer AGI Intern and AI Engineer at SIMBO.AI. He has also pursued a Bachelor of Technology in Computer Science from APJ Abdul Kalam Technological University, where he gained a strong foundation in the field. With his technical expertise and passion for open source development, Himanshu is well-equipped to take on challenging projects in the field of AI and deep learning. He is also excited about the potential of these technologies in various applications such as speech recognition, handwriting recognition, biometric identification, and document classification.