Here are my papers that have been published/accepted for publication :
A Review of an Automated Model for Sexist Language Detection and Replacement of Sexist Terms
A Symphony of Movements: Deep Learning for Thattadavu Recognition in Bharatanatyam
Deciphering Vaccine Sentiments: Transformer Models in Social Media Analysis
Will be presenting ”Can Structured Data Reduce Epistemic Uncertainty?” at the Next-Generation Language Models for Knowledge Representation and Reasoning workshop associated with the International Conference on Principles of Knowledge Representation and Reasoning (KR 2024), to be held at Hanoi, Vietnam.
Presented my poster titled ”Conditioning Diffusion Models to Augment Satellite Images” at the International Conference on Computer, Communication and Signal Processing (ICCCSP’24).
Attended International Conference on Advances in Artificial Intelligence and Machine Learning in Big Data Processing (AAIMB-2023) to present ”A Review of an Automated Model for Sexist Language Detection and Replacement of Sexist Terms”
Attended the Congress on Smart Computing Technologies hosted by Soft Computing Research Society and South Asian University on the 3rd of December to present my research work.
Attended a workshop on LLMs and RAGs hosted by TensorFlow User Group Bangalore, where-in I was able to understand some key insights on the current trends surrounding LLMs.
Hosted workshops titled ”GAN you do it?”, ”Fundamentals of Decision Making in AI” and ”What is a diffusion model?” for juniors at my college as part of Google Developer Student Club.
Curation of a novel large scale synthetic autonomous driving dataset using the CARLA dataset: At MinusZero, I created a novel CARLA dataset which comprised a large scale autonomous driving dataset, the dataset was created with similar configuration as the popular NuScenes dataset but for wider environmental scenarios. During the course of this work, I also was involved in integrating various in-house End2End Driving Models into the CARLA simulator and testing them out. The project also included training and testing models using the generated large scale dataset.
Analyses of Sim2Real models: During my time at MinusZero, I conducted a fulfilling analysis on various Sim2Real models and worked on using such models over CARLA dataset. Here’s a model-zoo that I made : Git. While working on Sim2Real, I also tested out the potential of diffusion based models (ControlNet and ControlNet with textual inversion). This work was done to generate realistic Indian cases by grounding style and context aware tokens using textual inversion. Git.
Amazon ML Challenge: The Amazon ML Challenge takes place annually through HackerRank and is hosted by Amazon. In this problem, a dataset of 2.2 million products was given and the task was to predict the product length based on product title, description, bullet points and product type ID. The problem was solved using Linear Regression, Decision Trees and Random Forest models. Git.
HackIT hackathon: A hackathon hosted by my department during undergrad which was sponsored by Google, I along with my teammates built a GAN model inspired by StyleGAN models to stylize images with better precision by focussing on the discriminator's accuracy.