Interdisciplinary researcher bridging mathematics, machine learning, and medicine to develop interpretable, physiology-informed AI for healthcare in resource-constrained settings.
I pioneer constrained optimization frameworks that embed domain knowledge into computational models, challenging the black-box paradigm of deep learning. My research addresses healthcare disparities in developing nations through mathematically principled, transparent, and clinically actionable diagnostic systems deployed in collaboration with AIIMS-Delhi and AFMC-Pune.
As a researcher at IBM India Research Lab, I advance trustworthy and enterprise-scale AI systems, focusing on Large Language Models (LLMs) for mission-critical legacy code modernization in financial and healthcare domains, with expertise in RAG, AI-agents, neural machine translation, and prompt-engineering.
Developing Physiology-informed Models that interpretable ECG analysis and holistic cardiac profiling from long term recording.
Architecting spec-driven AI-workflows for legacy enterprise-scale system modernization. Garnered various skills including LLMs, RAG, and AI Agents.
Creating robust ML frameworks for early stroke diagnosis in resource-limited environments, addressing the 3rd leading cause of disability and death globally through clinical diagnostic systems.
Indian Institute of Technology Delhi (IIT-Delhi)
Oct 2022 - Present
Indian Institute of Technology Delhi (IIT-Delhi)
Jan 2020 - Jun 2022
National Institute of Technology Hamirpur (NIT-Hamirpur)
2012 - 2016
33rd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) 2026
Oral Presentation, Limassol, Cyprus
Nature Scientific Reports, 2025
Impact Factor: 4.3
International Journal of Stroke, 2024
Impact Factor: 8.7
Journal of the Neurological Sciences, World Congress of Neurology (WCN) 2023
Poster Presentation, Montreal, Canada. Impact Factor: 3.2
Springer Nature Computer Science, 2022
Journal of Stroke and Cerebrovascular Diseases, 2022
Poster Presentation, Montreal, Canada. Impact Factor: 2.67
Journal of the Neurological Sciences, World Congress of Neurology (WCN) 2023
Oral Presentation, Montreal, Canada
International Journal of Stroke, World Stroke Congress 2022
Oral Communication, Impact Factor: 6.948
PhD Research (Ongoing)
Constrained optimization algorithm integrating finite cardiac conduction velocities for interpretable ECG alignment. Matches deep learning performance while maintaining complete clinical interpretability.
Ongoing Research
Non-invasive continuous monitoring of blood glucose and electrolytes via wearable devices for cardio-cerebrovascular risk assessment.
IBM Research
Transformer-based models for neural machine translation and automated code generation across programming languages with RAG and agentic AI workflows.
Master's Research
Robust ML framework for stroke type identification handling missing data and class imbalance. Enables preliminary diagnosis without neuroimaging in resource-constrained environments.
Research Tool
Generalized Oblique Sparse Factor Model - doubly-penalized matrix decomposition for exploratory analysis with superior sparsity and interpretability on small datasets.
Clinical Collaboration
10-test audio-visual protocol combining NIHSS-8 and Yoga-inspired postures for deep learning gait analysis. Piloted at AIIMS-Delhi.
Presented paper titled "Refining LLM-based COBOL-to-Java Translation via Natural Language Summary Augmentation"
My first industrial paper at IBM Research in collaboration with Vijay Arya and Yogish Sabharwal.
Title: A Novel Machine Learning Framework for Stroke Type Identification in Resource Constrained Settings with Robustness to Missing Data
Selected as Program Committee Member (Applied Data Science Track) for ACM 13th International Conference on Data Science (CODS-COMAD) 2025
Started as Research Engineer at IBM India Research Lab, AI4Code Team, working on LLMs and enterprise AI systems
Awarded Core Research Grant by Science and Engineering Research Board (SERB), DST, Government of India for prospective diagnostic study on wearable devices in acute stroke patients
Selected for Google Research Week 2023 in Bengaluru, featuring workshops and keynote sessions on machine learning foundations
Two abstracts accepted at World Congress of Neurology (WCN) 2023, Montreal, Canada - one poster and one oral presentation
Completed PhD coursework with CGPA 9.43/10 at IIT Delhi
2009
Ranked in AISSE, CBSE
2020
Visual Data Challenge, Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP) 2020
2020, 2022
PhD Fellowship (2022) and MS Fellowship (2020) from Indian Institute of Technology Delhi
I'm always interested in discussing research collaborations, healthcare AI projects, or opportunities in interpretable machine learning. Feel free to reach out!
Room 409, SIT-Building, IIT Delhi, New Delhi, India
