Srinivas Kulkarni

Srinivas Kulkarni is an experienced ML Solution Architect at Quantiphi since July 2017, specializing in building advanced statistical and deep learning models using Python and Tensorflow, alongside data gathering and exploratory data analysis. Prior roles include a Data Science Consultant, where ML tasks involved constructing deep learning models and researching AWS developments, and a Deep Learning Fellow at McKinsey & Company, focusing on hands-on quantitative analysis. Srinivas also gained experience as an AI Intern at Deep Cognition Labs, developing neural network models and working on computer vision applications, as well as a Researcher at The University of Texas at Dallas, where a Convolutional Neural Network was employed to classify speech and noise. Earlier in the career, Srinivas worked as a Software Engineer at Delphi Automotive Systems Ltd., testing embedded systems and developing test scripts. Srinivas holds a Master’s Degree in Digital Signal Processing from The University of Texas at Dallas and a Bachelor’s Degree in Electrical, Electronics, and Communications Engineering from Sri Jayachamrajendra College of Engineering.