Innovation comes from people who are able to link beauty to engineering, humanity to technology, and poetry to processors
Creators who can flourish where the arts intersect with the sciences and who have a rebellious sense of wonder that opens them to the beauty of both.
The best way to predict the future is to invent it.
I'm an MS CS grad student at Virginia Tech with a passion for science, technology, electronics and programming. I did research in Neural Networks and Deep Learning in my undergrad and currently apply them and other machine learning models on highly unstructured and random Natural Language data. Please contact for any project or research collaboration.
ONLINE DEMOS OF
I have developed and put some of my projects as live online working demos. These involve neural network inferencing happening in real time on the browser or the server. I highly recommend checking them out as they take only a few minutes.GitHub Profile
Quick Draw CNN
Draw an object and a CNN will identify it in real-time
Trump Tweet Generator
Text Generation using RNN LSTM
BASIC AND APPLIED
My primary research interests are Deep Learning, Machine Learning, Natural Langugage Processing, and Edge Computing. I have been doing independent and collaborative research since the latter half of my undergrad, and involved in a successful research & developement project at my current role at Amadeus from 2018.Google Scholar Page
PAPERS AND PUBLICATIONS
I have taken several courses in my undergrad and online as MOOCs, certifications and general in a breadth of areas like Computer Science, Programming, Mathematics, Electronics, Artificial Intelligence etc.
I have a Bachelor of Engineering in Electronics and Communication from Thapar Institute of Engineering and Technology, Patiala, India with a GPA of 8.95/10.0 (2018)
I have also taken the GRE (328/340: Quant (169/170), Verbal (159/170), AWA: 5.0/6.0) and the TOEFL iBT (114/120)
SEE MY DETAILS