About me:
I'm a first year Master's student in Computer Engineering at NYU Tadon School of Engineering.
Previously, I have interned at Computational Linguistics (CLAUSE) group in Bielefeld under Prof. Sina Zarrieß and
Dr. Özge Alaçam in the field of multimodal machine learning.
I have also interned under Prof. Shital Chiddarwar at IvLabs- the robotics and AI lab at VNIT trying to look at machine learning through the lens of mathematics.
Here's Résumé for further information.
News:
Sept 2023: Started my MS in Computer Engineering at NYU Tandon School of Engineering.
May 2022: Started my intern under Prof. Sina Zarrieß and Dr. Özge Alaçam
Oct 2021: Our paper Enhancing Context through Contrast accepted at NeurIPS Preregistration Workshop
May 2020: Started working at IvLabs under Prof. Shital Chiddarwar
Publication and selected Projects:
Enhancing Context Through Contrast:
Project Overview: Proposed a novel post-pretraining step to enhance Neural Machine Translation performance. Based on the ideology that languages are transformation from an abstract meaning space.
Medical Visual Question Answering:
Project Overview: Benchmarked a number of multimodal transformer architectures on ImageCLEF 2019 dataset using Meta AI Research's (then Facebook AI Research) Multi-Modal Framework (MMF).
[Code]
Neural Machine Translation:
Project Overview: Reproduced four foundational Neural Machine Translation papers from scratch and baselined them on Multi30k dataset.
[Code]
Upcoming Projects:
Dynamic Discretization for Multimodal Transformers:
Proposed a novel architecture for soft discretization of images in an image-text pair to increase their representational quality in multimodal transformers.
Information Bottleneck view of Transformers:
Performed experiments to understand the information flow in transformer architecture as used in text-to-text tasks.
Convolutional Language Modelling:
Proposed a new architecture for language modelling based on convolutional neural networks.
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