Dec 2022 – Jul 2023 · 7 mos

Jan 2022 – Jul 2022 · 6 mos

Jan 2021 – Jul 2022 · 1 yr 6 mos · Remote

Jul 2020 – Sep 2020 · 2 mos · Vancouver, British Columbia, Canada

• Worked on Sequence Imputation using NLP approaches for time series data.
• Worked on attention mechanisms to entirely replace the recurrent components of these data-restoration networks.
• Demonstrated that such an approach leads to reduced model sizes by as many as two orders of magnitude, a 2-fold to 4-fold
• reduction in training times, and 95% accuracy for automotive data restoration.
• Explored the possibilities to apply Deep learning models like NAOMI, GRU-D, EC2GAN, etc. for predictive imputation of
• time series data.

Jun 2020 – Jul 2020 · 1 mo

• Participated and got shortlisted among the top 20 teams in the IBM Hackchallenge 2020 wherein I developed a tone analyzing model to analyze the sentiments of tweets in real-time regarding the pandemic lockdown.

Jan 2020 – Dec 2020 · 11 mos · Singapore

• Worked at the Speech Processing Lab at NTU under the Research Director Prof Chng Eng Siong. Worked on my undergrad thesis titled- ' Template-based domain-specific Controlled Natural Language Generation for low data settings'.
• Worked on the development of a real-time NER System for Medical Emergencies conversational dialogues.

Jan 2019 – Jun 2020 · 1 yr 5 mos · Delhi, India

• Assisted the Professor, Department of Mathematics and Artificial Intelligence, in the field of
• Natural Language Processing to develop an efficient model for Sentiment Analysis and
• Sarcasm Detection.
• Studied and worked in the field of Computer Vision to develop and improve the performance of
• Generative Adversarial Models(GANs) for Style-Transfer using CycleGAN, the printing of 3D
• models, and creating Photo-Realistic Eyeballs with SimGAN.
• Used technologies like Neural- Networks, Variational Autoencoders, VADER(Valence Aware
• Dictionary and sEntiment Reasoner), etc.