- Graduate Research Assistant, Artificial Intelligence Institute, University of South Carolina (AIISC) Columbia, SC, USA
- Period: Jan. 2022-Present
- Analysing biosignals (EEG, ECG, fMRI, MRI) and implementing machine learning models
- Working on implementation on framework to perform Dynamic Causal Modelling integrating with Deep Learning
- Actively working on Knowledge Infusion in AI models
- Working on predicting behavioural scores in indviduals with chronic stroke aphasia and damaged left hemishphere using MRI images
- Built a pipeline for preprocessing and classifying ASD infants (3-6 months of age) for high likelihood using ECG signals
- Worked on parameter estimation in ECG using Deep Learning
- Visiting Research Intern, Artificial Intelligence Institute, University of South Carolina Columbia, SC, USA
- Period: September 2021 - June 2022
- Adopting, utilizing and developing new approaches, methodologies for Lesion Mapping and classification in Aphasia
- Actively participating in projects with research group at AIISC
- Building and implementing architecture roadmaps for next generation Artificial Intelligence solutions for collaborators
- Remote Research Intern, Artificial Intelligence Institute, University of South Carolina Columbia, SC, USA
- Period: October 2020 - August 2021
- Planning and executing challenging technical problems
- Organizing, analysing, pre-processing of ECG signals, using signal processing techniques
- Designing pipeline for Autism likelihood in infants using Machine Learning
- Summer Intern - Web Developer, Indian Space and Research Organization (ISRO) Jodhpur, Rajasthan, India
- Period: Jun. 2017 - July. 2017
- Implemented back end using MySql which is communicating with client, along with two other team members who wrote the php logic’s and designed front end
