Artificial Intelligence, Machine Learning, Multimodal LLM, GenAI, IoT & Full Stack Web Software Developer | Undergraduate Researcher | MITACS GRI Research Intern'24 @ University of British Columbia, Canada | Beta Microsoft Learn Student Ambassador | Ex-Intern @ DRDO | Ex-AI/ML Intern @SocialWell | Ex-IBM ZAmbassador | Ex-Technical Head IEEE Women In Engineering
I am a 4th year student pursuing Integrated MTech (CSE) at Vellore Institute of Technology (VIT), Vellore (NIRF rank 11th 2023). I have worked on 16 projects on different technical domains including Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Data Analysis, Full Stack Web Development etc, using Python, C and C++. I have worked on 7 internships at DRDO, SocialWell, Goldman Sachs and LetsGrowMore etc. I have engaged myself in 12 research works on different technical domains including AI, ML, DL, NLP etc, out of which one paper got already published, 3 papers are accepted at international conferences and 6 are under review by publication houses and rest of the research works are in progress. Along with my own domain knowledge, I have a fair understanding of Healthcare, Environment, Sustainability, Net Zero, Carbon Footprint etc.
Research 1: I am currently working on a research project focusing on Multimodal LLMs (interaction of LLMs with different forms of data) and my aim is to advance LLM capabilities and applications by integrating them with Internet of Things, Sensory networks, thereby enhancing user interaction in various use cases. I have done several projects on AI and Deep Learning – (Ongoing)
Research 2: Alzheimer’s Disease Prediction using AxCoSa Multi-Deep Neural Network Architecture – (Under Review- Springer-SCImago)
Research 3: Federated Average Distillation Conditional Mutual Learning in Waste Management- (Under Review- IEEE Access)
Research 4: DenseFed-PSO: Particle Swarm Optimization based DenseNet Federated Model in Alzheimer's detection-(Accepted- 8th International Symposium on Intelligent Informatics (ISI’23))
Research 5: FedXAI-ISL: Explainable Artificial Intelligence based Federated Model in Indian Sign Language-(Accepted- 7th International Conference on Innovative Computing and Communication (ICICC)'24)
Research 6: Federated Average Evolutionary Stochastic Gradient Learning in Marine Plastic Pollution Management-(Under Review- Ecological Informatics, Elsevier)
Research 7: Hyper-Parameter-Tuned-Ensembled-Transfer Learning-Genetic-Algorithm-Optimized-Model-PCOS-Prediction - (Under Review- Springer)
Research 8: Comparative Analysis on Ensemble Crow Search Algorithm and Ant Colony Optimization on Heart Disease and Breast Cancer Detection-(Under Review- SCOPUS)
Research 9: Artificial Intelligence In Bringing A Revolution In The Healthcare Industry- (E-ISSN: 2456-5571) Jan 15, 2021 BODHI International Journal of Research, Research & Publication Services (CRRPS), India (Published- https://www.researchgate.net/publication/348705113_ARTIFICIAL_INTELLIGENCE_IN_BRINGING_ABOUT_A_REVOLUTION_IN_THE_HEALTHCARE_INDUSTRY)
Research 10: A. Ghosh and P. Krishnamoorthy, "DifEvoDenseFed: Differential Evolution Optimization Based DenseNet Federated Model in Alzheimer's detection," 2023 International Conference on Next Generation Electronics (NEleX), Vellore, India, 2023, pp. 1-6, doi: 10.1109/NEleX59773.2023.10421357.-(Published- IEEE Xplore- https://ieeexplore.ieee.org/document/10421357/)
Research 11: Synergizing IoT and Drone Solutions for Advanced Surveillance and Integrated Health Monitoring-(Under Review)
Research 12: Chronic-Kidney-Tumor-Detection-using-ML-DL - (Ongoing)
2020-2025
Integrated M Tech in Computer Science and Engineering in collaboration with VIRTUSA
Vellore, Tamil Nadu, India
2018 – 2020
AISSCE CBSE ( 10+2 )
PCMB
Grade: 94%
Kolkata, West Bengal, India
2018 – 2020
ICSE (10)
Grade: 96%
Kolkata, West Bengal, India
Undergraduate Student Researcher
Nov 2022 - Present
Incoming Deep Learning NLP Software Research Intern
May 2024 To begin
Software Development and Quality Intern
May 2023 - Aug 2023
AI/ML Intern
Dec 2022 - Mar 2023
FinTech Experience Program Intern
Dec 2022-Jan 2023
Beta Microsoft Learn Student Ambassador
Oct 2021 - Jan 2023
IBM Z Ambassador
Sep 2021 - Jan 2023
Technical Head
Jan 2021 - Jan 2023
Open Source Contributor
Aug 2021 - Nov 2021
Web Development Intern
Nov 2021 – Dec 2021
Official Campus Ambassador
July 2021 – Nov 2021
Ninja Euntrepreneur
Oct 2021 - Mar 2022
Senior Core Committee Member
Jan 2021 - Jan 2023
Mentor
Jan 2021 - Jan 2023
Senior Core Committee Member
Jan 2021 - Jan 2023
Senior Core Committee Member
Jan 2021 - Jan 2023
Core Committee Member
Jan 2021 - April 2021
