Background

• In 2020, I graduated from Indian Institute of Technology Roorkee, India with Integrated Masters' of Technology in Geophysics. For Masters’ Thesis, I worked on Seismic Velocity Modeling using Deep Convolutional Neural Networks
• In my final year at IIT Roorkee, I also worked with a U.K. based start-up company named Optic Earth. During my time there, I worked on building an AI powered Subsurface Imaging Software stack for Norway based Neptune Energy Ltd
• A successful academic-cum-research run at IIT Roorkee culminated into a rewarding opportunity as I got the offer to join the Visiting Student Program (virtual due to pandemic) at KAUST where I worked on Tomographic Deconvolution using Deep Neural Networks under the supervision of Prof. Gerard Schuster and was TA for the Machine Learning course, ErSE 290: Machine Learning Methods in Geosciences

Current Responsibilities

• Applying Machine Learning methods to problems in Fracture Mechanics
• Understanding and explaining Machine Learning methods from an engineer/mathematician's point of view
• Exploring the concept of data-driven physics-based Digital Twin

Research Interests

• Physics informed Machine Learning
• Scientific Computing
• Hyper-automation