Shrey Pandit

Update: Personal Website shifted to: https://shreypandit.github.io/

Hey, I am Shrey Pandit

I am currently pursuing a Master's in Computer Science at the University of Texas at Austin, following my undergraduate studies in Computer Science at Birla Institute of Technology and Science, Pilani - Goa Campus. My passion lies in Machine Learning, with a particular focus on Natural Language Processing. I am committed to bridging the gap between theoretical knowledge and practical application.

My professional journey includes a research internship at Salesforce in Palo Alto, California, where I worked with Dr. Shafiq Joty on training state-of-the-art Large Language Models (LLMs).

Additionally, I served as a research intern at Microsoft Research Lab, collaborating with Sunayana Sitaram on evaluation techniques for massive multilingual models. I have also worked as a collaborator at Princeton-NLP alongside Ameet Deshpande and Karthik Narasimhan.

These experiences have equipped me with a robust foundation in machine learning and natural language processing, fueling my dedication to advancing in this dynamic field.

Contact Me here!

Curriculum Vitae

Github

Twitter

Highlights!

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 🎉
Want to know some other updates? ↓

Older News

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
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