Researcher profile
About
My work brings together trustworthy AI, multimodal learning, speech forensics, and scientific applications.
I am an AI researcher working across trustworthy clinical language systems, multimodal representation learning, synthetic-media forensics, agricultural intelligence, and scientific machine learning. As a Research Assistant at Nanyang Technological University, I develop and evaluate privacy-preserving clinical LLM workflows; through AI4A Lab, I connect research questions to public datasets, codebases, and applications.
My experience spans research roles at NTU, AI4A Lab, Ulster University, Manipal University Jaipur, NIT Jalandhar, and ULPGC. I value careful evaluation, reproducible artifacts, and collaborations that make advanced methods useful in practice.
Chronology
Experience
- Current role
Nanyang Technological University (NTU), Singapore
Research Assistant
Advisor: Dr. Si Yong Yeo
Developed HERALD, a client-side cryptographic redaction framework for clinical LLM deployment. Evaluated selective token protection on clinical workloads and studied privacy–utility implications for cloud and API-assisted clinical NLP workflows.
- Current role
AI4A Lab, India
Member; Project Lead (June 2024–present)
Lead undergraduate research collaborations and open artifacts across accessibility, education, speech forensics, agriculture, healthcare privacy, and thermophysical-property prediction. Public lab site: ai4a-lab.github.io.
Ulster University, United Kingdom
Research Intern
Advisor: Dr. Muskaan Singh
Contributed to synthetic-speech attribution, open-set detection, and cross-paradigm audio deepfake detection using speech foundation models and geometry-aware representation learning. This work led to IJCNLP-AACL 2025 and EACL 2026 publications.
Manipal University Jaipur, India
Project Lead
Advisor: Prof. Sandeep Chaurasia
Led the grant-supported multimodal interview-assessment project, including RecruitView data collection, annotation infrastructure, and CRMF modelling.
National Institute of Technology (NIT) Jalandhar, India
Research Intern
Advisor: Dr. Rajesh Singla
Studied machine-learning methods for brain–computer interface systems, including neural-signal acquisition, preprocessing, and real-time adaptive-feedback workflows for medical applications.
Universidad de Las Palmas de Gran Canaria (ULPGC), Spain
Research Assistant
Advisor: Prof. Carlos M. Travieso-González
Developed computer-vision models for geological image classification over 950 images and 19 rock types, using transfer learning and k-fold validation. The resulting framework achieved more than 98% top-1 accuracy.
Foundation
Education
Bachelor of Technology in Computer Science and Engineering
Manipal University Jaipur, India · 2021–2025
CGPA: 8.53/10.0
Coursework: Artificial Intelligence, Machine Learning, Data Science, Data Mining & Data Warehousing, Soft Computing, Discrete Mathematics, Linear Algebra, Calculus, Probability & Statistics, Relational Database Management Systems, Computer Architecture, Automata Theory, Object-Oriented Programming, Data Structures & Algorithms
Recognition
Honors and awards
Student Excellence Award for Research (Undergraduate)
Manipal University Jaipur
Received six awards across March 2024, April 2024, September 2024, February 2025, July 2025, and August 2025.
Best Minor Project in Research Category (Undergraduate)
Manipal University Jaipur
Recognized in September 2024.
Practice
Teaching and academic service
Undergraduate Teaching Assistant
Data Structures and Algorithms; Data Science and Machine Learning · Manipal University Jaipur
Supported more than 50 students through weekly labs, doubt sessions, quiz preparation, and assignment grading.
Reviewer, ICASSP 2026
Peer reviewer · IEEE International Conference on Acoustics, Speech and Signal Processing
2026–2027 research opportunities
Seeking prospective advisors and funded PhD opportunities for 2026–2027.