# Hi there!

I am a deep learning solutions architect at NVIDIA focused on deploying machine learning and deep learning systems at scale. I recently graduated from University of Colorado Boulder with a Master’s in Computer Science with specialization in deep learning. Prior to that, I completed my Bachelor’s of Engineering from Thapar University, India.

At CU Boulder, I worked on a variety of projects, from applying RNNs to understand how students learn to predicting weather using LSTMs and CNNs to building an intelligent VR application that automatically completes a painting given some initial few strokes. I am interested in creative applications of machine learning/deep learning and the wide set of possibilities it presents. If you are interested in collaborating, feel free to drop an email!

## Recent News

• [September 2020] Deepshikha Kumari and I gave a talk about How to become a Data Scientist? at IIT Bombay (placement webinars). Handout available here.
• [August 2020] Srishti Yadav and I gave a talk on Scalable Hyper-Parameter Tuning using RAPIDS on AWS at PyBay 2020. GitHub repo with presentation here.
• [August 2020] Siddha Ganju and I mentored the DisruptCNN team at GPU Hackathon 2020 (organized by Brookhaven National Laboratory).
• [August 2020] Mentored students on creating, finding and interviewing for the right opportunities in the software industry during COVID-19 via UnsaidTalks platform. More information here.
• [June 2020] Gave a talk on Accelerating Machine Learning with GPUs at AI Camp. GitHub repo with presentation here.