"Don't wait for an opportunity, create it"
Hey, I am Shrey Pandit
I am currently pursuing Masters's in Computer Science at the University of Texas at Austin and spent my undergrad years pursuing BE in Computer Science from Birla Institute of Technology and Science, Pilani - Goa Campus.
I found a deep interest in the field of Machine Learning, specifically in Natural language processing. Alongside learning, I believe in having a hands-on experience of everything that I learn, so I have done a few projects related to this field that can be seen on my Github profile.
I was working as a research intern at Microsoft Research Lab with Sunayana Sitaram on evaluation techniques for massive multilingual models. Previously, I was a collaborator at Princeton-NLP with Ameet Deshpande and Karthik Narasimhan. Also, I was a research intern at APPCAIR Labs in the NLP Domain under the supervision of Dr. Ashwin Srinivasan. Previous to this, I worked with MIDAS Lab, Delhi with Dr. Rajiv Ratn Shah on financial time series problems. I had the privilege of learning from my mentors at Georgia Tech, University of Marburg, University of the Negev, and other top research facilities.
I am open to any kind of Research Internship opportunity (Remote and On-site) that suits my path and would benefit me in excelling in my career.
Contact Me here!
Recent News
Aug 23' - Will be Joining UT Austin for my Master's in Computer Science
May 23' - Got a paper accepted at ACL 2023 🔥
Jan 23' - Started a project at APPCAIR Lab in collaboration with TCS Research 🥳
Jan 23' - Got selected for Google Research week 🎊
Jul 22' - Joined Microsoft Research as a Research Intern 🎉
Jun 22' - Got accepted for Amazon ML Summer School 2022 🔥
May 22' - Accepted for Google Summer of Code 2022 at Red Hen Labs 🎊
April 22' - CIAug accepted at NAACL 2022 - Main Conference. 🤩
Feb 22' - DMix: Adaptive Distance-aware Interpolative Mixup accepted at ACL 2022- Main Conference 🎊
Jan 22' - Started research work at APPCAIR Lab 😇
Dec21' - Started collaborating with Ameet & Karthik Narasimhan at Princeton-NLP 🔥
Sep 21' - Extended abstract Distance constrained Interpolative MixUp accepted at MRL-EMNLP 2021 🥳
Jul 20' - Paper accepted at 7th Workshop on Machine Learning for Sports Analytics (MLSA) as a part of ECMLPKDD 2020
Want to know some other updates? ↓
Older News
Jul 21' - Got selected in 5th Summer School on AI with Focus on Computer Vision and Machine Learning, conducted by CVIT, IIIT-Hyderabad. 🎉
Jul 21' - Started teaching a project-based course to over 250+ students from various campuses across India 🧑🏫
Jun 21' - Attended the "Nvidia Building Transformer-Based Natural Language Processing Applications" Workshop.
Jun 21' - Got selected for ACM Summer School ( Top 40 students among all applicants). ✨
May 21' - Started my Summer Internship at AROCOM-IT as a Machine learning Intern. 🔥
Jan 21' - Started my Research internship at MIDAS-IIITD
Jan 21' - Started teaching CTE course as an Instructor on Machine Learning and Deep Learning to students of various semesters in BITS-Goa
Oct 20' - Started teaching CTE course as a mentor on Intro to Deep Learning to Students at BITS-Goa
Glimpse of My Projects
To find more projects have a look at my Github Profile
I have also tried writing an online teaching blog/course on deep learning and python.
It also has some of the Research paper reviews.