AI Researcher | Multimodal & Federated Learning | Quantitative Finance
🎓 Final year B.E. Electronics & Computer Engineering @ Thapar Institute of Engineering and Technology, India
📑 10+ research papers (IEEE, Springer) | 3 patents published
💡 Research focus: Multimodal AI, Foundation Models, Federated Learning, Quant Finance
🌱 Currently: Research Intern @ IIT Jodhpur (Ubisys Lab), IIM Udaipur, AstratInvest, Samsung PRISM
- Multimodal Learning (Vision–Language Models, Diffusion, Contrastive Learning)
- Federated & Continual Learning (FL personalization, cost-sensitive loss, adapter tuning)
- Quantitative Finance (option pricing, convex splines, portfolio optimization)
- Cognitive Computing in Healthcare (medical imaging, decision support systems)
📌 DisasterNet (CVIP 2025)
Multimodal tweet+image damage severity classification using ViT + BERT fusion.
Code to be released post-publication.
📌 Fed-HARL (IIT Jodhpur)
Federated behavioral sequence prediction with adapter tuning and cost-sensitive loss.
Code to be released post-publication.
📌 MediGlot 2.0 (GSoC Proposal)
Biomedical embeddings via fine-tuned BioBERT + ChemBERTa, clustering with GraphSAGE.
📌 C-Spline Option Pricing (IIM Udaipur)
Convex regression for streaming call option surfaces using Meyer-style cubic C-splines.
Code to be released post-publication.
📌 Strabismus Detection (Patent)
AI-assisted ocular misalignment quantification device with Jetson/Raspberry Pi deployability.
⭐ “Code will be released upon publication of associated papers.”