|Sep 15, 2021||Joined AWS AI, Berlin as an Applied Scientist.|
|Sep 6, 2021||Talk at Quanisght on Array Libraries Interoperability. Slides Link.|
|Sep 5, 2021||Released a prototype demo for Python Array API showcasing the use of PyTorch Tensors with SciPy methods. Credits: Quansight Labs.|
|Jun 11, 2021||Joined Quansight Labs as an open-source development intern.|
|Apr 13, 2021||Released gh-tracker version 1.0.0 on the chrome web store. Download.|
|Mar 19, 2021||Serving as a mentor for GSoC 2021 @ CERN-HSF.|
|Sep 28, 2020||Joined AWS AI, Seattle as an intern with MLU and Deep Graphs team.|
|Sep 8, 2020||Successfully completed GSoC 2020 @ CERN. Blog link.|
|Aug 2, 2020||Volunteer at Mentors Without Borders, a non-profit organization.|
|Jul 5, 2020||Volunteer at ACL 2O2O tutorial Integrating Ethics into the NLP Curriculum.|
|May 11, 2020||Started working as an ML Intern at Skit.ai.|
|Apr 27, 2020||Volunteer at ICLR 2O2O.|
|Apr 8, 2020||Our work on ProteinGCN: Protein model quality assessment using Graph Convolutional Networks is now available as pre-print.|
|Mar 13, 2020||Secured All India Rank 761 at GATE 2020 (Graduate Aptitude Test in Engineering).|
|Jul 1, 2019||Volunteer at Student Mentorship Program, IIT Roorkee|
|May 1, 2019||Appointed as Secretary at the Data Science Group, IIT Roorkee.|
|Mar 8, 2019||Gave a talk on Security in Machine Learning at Shrishthi 2019, IIT Roorkee.|
|Feb 12, 2019||Our team secured All India Rank 7 at Flipkart GRID 2019 Level 1.|
I'm an Indian Institute of Technology Roorkee alumnus, passionate about Open Source and Machine Learning Research. My research interests include Natural Language Processing and Graph Representation Learning.
Currently, I work as an Applied Scientist at AWS AI, Berlin. Previously, in 2020, I interned with the Machine Learning University and the Deep Graphs teams at AWS.MALL Lab, IISc Bangalore working on Graph Neural Networks and Natural Language Processing under the guidance of Prof. Partha P. Talukdar.
I maintain and contribute to a number of open source projects (see github). Currently, I'm working on PyTorch and SciPy. I'm a maintainer and PyTorch Framework Adaptation Author of the book Dive Into Deep Learning.
In the summer of 2021, I interned as an open-source software developer at Quansight Labs working on Array Libraries Interoperability. I was fortunate to work under the amazing mentorship of Ralf Gommers who I cannot thank enough. Read more about my project.
I served as a mentor for CERN-HSF as part of Google Summer of Code 2021. In the 2020 edition of the program, I worked as a GSoC student for the same org. I developed the PyTorch Interface for ROOT-TMVA, a framework for High Energy Physics data analysis. Read more.
If you have any questions or would like to collaborate, feel free to reach out through email!